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The US populace appears to be increasingly polarized on partisan lines. Political fissures bifurcate the country even on empirical matters like vaccine safety and anthropogenic climate change. There now exists an ever-expanding interdisciplinary research program in which theorists attempt to explain increases in political polarization and myriad other phenomena collected under the "post-truth" heading by appeal to social-epistemic structures, like echo chambers and epistemic bubbles, that affect the flow and uptake of information in various communities. In this paper, I critically analyze C. Thi Nguyen's important and popular analysis of echo chambers and epistemic bubbles. As I demonstrate, the explanatory mechanisms on which Nguyen focuses are, arguably, overly cognitive and obscure significant effects of social-epistemic structures on our affective lives. The broader lesson to draw from my discussion is the following: commonly used expressions intended to refer to social-epistemic problems, like "political polarization", possess no univocal definition across theorists, and various ways of making the terms precise are differentially successful in characterizing verifiable phenomena. Theorizing about social-epistemic structures should be responsive to relevant empirical work on various phenomena that we have good reason to believe constitute real and substantive problems that result from the flow and uptake of information. [ABSTRACT FROM AUTHOR]

Online climate change polarization has increasingly received academic interest over time. Online media facilitate and accelerate processes of climate change polarization. Yet, throughout the years, online climate change polarization became a fuzzy concept, holding different meanings in different academic contexts. By reviewing the available evidence, the current article identified three ontological distinctions in online climate change polarization research: (1) focus on different groups that polarize; (2) either investigate the positions, relations, or emotions of actors; and (3) states or processes of polarization. Based on the latter two ontological distinctions, the article reconceptualizes online climate change polarization as a multidimensional phenomenon, by introducing a framework comprising six dimensions of polarization. Accordingly, by identifying gaps in the literature, the article proposes a future research agenda. This article is categorized under:Perceptions, Behavior, and Communication of Climate Change > CommunicationPerceptions, Behavior, and Communication of Climate Change > Perceptions of Climate ChangePerceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses [ABSTRACT FROM AUTHOR]

Facing a policy issue, citizens use search engines such as Google to seek political information. Although some scholars have expressed concern that higher user control, and high choice might induce selectivity, existing literature has neglected the role of search terms in the echo chamber debate. This study applied two cross-section surveys during two referendum votes to expose respondents to mock Google webpages (N = 728; N = 820). With thematic coding analysis and logistic regressions, the study indicates that citizens rarely use the search bar to search for only like-minded information sources and that individual-level characteristics are not drivers of search terms. Though search terms foresee self-selection in the results' page for some motivated citizens, ranking remains the main driver of self-selection for most citizens. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Planning Education & Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We carry out most of our epistemic projects as groups. Networks of individuals work together to identify questions, accumulate evidence, and settle on answers that lie beyond the ken of individual knowers. This is particularly important for controversial issues. And when it comes to ideologically contested issues, groups that are ideologically diverse in their membership are epistemically superior to groups that are ideologically homogenous. That's because ideologically diverse groups are better at (a) identifying a representative sample of important questions, (b) developing a wider range of potential answers, and (c) evaluating the evidence for and against each option. Awareness of this point produces a competence defeater for the relevant outputs of ideologically homogenous groups: they don't deserve the high level of trust we often grant them. That, among other things, goes a long way towards justifying the public's decreased trust in institutions like social networks, journalism, and universities. [ABSTRACT FROM AUTHOR]

Social-media platforms have created new ways for individuals to keep in touch with others, share their opinions and join the discussion on different issues. Traditionally studied by social science, opinion dynamic has attracted the attention from scientists in other fields. The formation and evolution of opinions is a complex process affected by the interplay of different elements that incorporate peer interaction in social networks and the diversity of information to which each individual is exposed. In addition, supplementary information can have an important role in driving the opinion formation and evolution. And due to the character of online social platforms, people can easily end an existing follower-followee relationship or stop interacting with a friend at any time. Taking a step in this direction, we propose the OG–IC model which considers the dynamic of both opinion and relationship in this paper. It not only considers the direct influence of friends but also highlights the indirect effect of group when individuals are exposed to new opinions. And it allows nodes which represent users of social networks to slightly adjust their own opinion and sometimes redefine friendships. A novel problem in social network whose purpose is simultaneously maximizing both the diversity of supplementary information that individuals access to and the influence of supplementary information on individual's existing opinion is formulated. This problem is proved to be NP-hard and its objective function is neither submodular nor supermodular. However, an algorithm with approximate ratio guarantee is designed based on the sandwich framework. And the effectiveness of our algorithm is experimentally demonstrated on both synthetic and real-world data sets. [ABSTRACT FROM AUTHOR]

The project of veristic social epistemology is based on the evaluation of social practices directed at acquiring knowledge and avoiding error. This research aims to analyse the social and technological dimensions of information processes. A number of practices in the network environment have a significant impact on the cognitive processes of individuals. They give rise to the acquisition of both true and false beliefs, ranging from reliable information practices to unreliable disinformation practices. The prevalence of phenomena such as echo chambers, fake news, clickbait or deepfakes indicates that the condition of the contemporary infosphere is under serious threat. Disinformation processes, reinforced by technological progress, prompt reflection on the reliability of social practices. In addition to the strictly veristic consequences, the importance of the phenomenon of epistemic injustice should also be pointed out. [ABSTRACT FROM AUTHOR]

At the launch of How to be a Learning Developer in higher education (Syska and Buckley, 2024), a common thread emerged during contributor presentations: the need to develop a shared critical approach to position ourselves effectively within higher education. This approach would identify and implement strategies to resist the challenges of neoliberalism, working towards social justice for our students, using critical pedagogy. These themes are relatively common in the LD literature, and the ALDinHE value of ‘embracing […] critical pedagogy’ accompanies the manifesto statement that ‘neutrality is not an option’ (ALDinHE, 2023). These terms carry political connotations and implications for LD practice. Together, these factors suggest a move to develop a ‘signature’ critical LD pedagogy, underpinned by an explicitly ideological vision. Under these circumstances, we risk constructing ‘a bounded, enclosed media space that has the potential to both magnify the messages delivered within it and insulate them from rebuttal’ (Jamieson and Capella, 2008, p.76) — in short, an echo chamber. This raises some important questions: • Given the explicitly political nature of critical pedagogy, in recruitment of new LD colleagues, should we test for and limit entry to our critical pedagogy club to those with ‘acceptable’ political views? • Critical pedagogy is skeptical of dominant narratives. How will we prevent critical pedagogy from becoming the dominant narrative in our community? • What if we are wrong? Even if our diagnosis of the challenges we face is correct, how will we test our solutions in the absence of robust challenges from alternative perspectives?

The integration of digital technology in modern society has led to an increased importance of the analysis of the digital environment in political elections. The concept of echo chambers and their influence on social networks has received significant attention in recent academic investigations. Echo chambers are commonly referred to as the digital bubble where users participate in a conversation mostly with like-minded others, and it is usually related not only to homophily but can also be directly associated with the effects of social media algorithms. This study examines the Twitter interactions during two Spanish regional elections. Data collection has been performed through Twitter Streaming API, which resulted in a total dataset of 5.5 million tweets. The study analyzes how the political communities interact inside and between them. Also, we replicate this analysis by grouping the political communities by two main affinity blocks (left-right) to evaluate if the effects of homophily are even higher under this hypothesis. Finally, the text of the tweets was analyzed to reinforce the community-interaction analysis and to conduct a sentiment analysis of the interactions. The research results indicate that within each political party community, interactions predominantly occur among individuals who hold similar political views, leading to the creation of echo chambers. These echo chambers become even more powerful when parties are unified into political affinity blocks, with over 97% of interactions occurring within each left-right block. This study aims to contribute to the ongoing academic debate by providing relevant data and reinforcing aspects studied by previous researchers.

Abstract Background Protecting public health from infectious diseases often relies on the cooperation of citizens, especially when self-care interventions are the only viable tools for disease mitigation. Accordingly, social aspects related to public opinion have been studied in the context of the recent COVID-19 pandemic. However, a comprehensive understanding of the effects of opinion-related factors on disease spread still requires further exploration. Methods We propose an agent-based simulation framework incorporating opinion dynamics within an epidemic model based on the assumption that mass media channels play a leading role in opinion dynamics. The model simulates how opinions about preventive interventions change over time and how these changes affect the cumulative number of cases. We calibrated our simulation model using YouGov survey data and WHO COVID-19 new cases data from 15 different countries. Based on the calibrated models, we examine how different opinion-related factors change the consequences of the epidemic. We track the number of total new infections for analysis. Results Our results reveal that the initial level of public opinion on preventive interventions has the greatest impact on the cumulative number of cases. Its normalized permutation importance varies between 69.67% and 96.65% in 15 models. The patterns shown in the partial dependence plots indicate that other factors, such as the usage of the pro-intervention channel and the response time of media channels, can also bring about substantial changes in disease dynamics, but only within specific ranges of the dominant factor. Conclusions Our results reveal the importance of public opinion on intervention during the early stage of the pandemic in protecting public health. The findings suggest that persuading the public to take actions they may be hesitant about in the early stages of epidemics is very costly because taking early action is critical for mitigating infectious diseases. Other opinion-related factors can also lead to significant changes in epidemics, depending on the average level of public opinion in the initial stage. These findings underscore the importance of media channels and authorities in delivering accurate information and persuading community members to cooperate with public health policies.

The growing significance of social networking sites (SNSs) as venues for political exchanges between citizens raises questions on the consequences of their use. This pre-registered experiment (N = 704) aexamined to what extent a gradual variation of congruence between users' opinions and the opinion climate they encounter on SNSs affect their strength of opinion and selective exposure. No effects were found from the level of congruence on selective exposure, while exploratory analyses suggested that exposure to overly congruent opinion climates can lead to marginally stronger opinions. Building on research into political social identities which suggests polarizing effects of the latter, interaction effects of users' ideological identities and exposure to opinions on SNS were additionally investigated. However, the present work found no indication that effects of congruence are modulated by identity salience. Taken together, findings of this study suggest that socially divisive effects of like-minded or non-like-minded opinion climates conveyed by SNS may be limited. [ABSTRACT FROM AUTHOR]

Copyright of Estudos em Comunicação is the property of Labcom / Universidade da Beira Interior and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The omnipresence of the digital ecosystem makes it increasingly important in our societies, which implies that the analysis and study of the digital battlefield in political elections is also becoming more necessary to protect our democracies. Previous literature showed the existence of information operations around the world, designed to manipulate the political perception of citizens, and therefore, the electoral results. This paper examines the Twitter conversation around #14F 2021 Catalonia regional elections, which had special significance due to the pandemic situation and the highly polarized scenario around Catalonia and Spain, using tools and techniques from Big Data Analytics and Artificial Intelligence. The results obtained show that the conversation existed inside robust echo chambers within each political party community, which became even more powerful if parties are unified into political affinity blocks. Also, focusing on the analysis related to the social bot presence, a significant quantity of results showed a higher presence of social bots in VOX party community compared to the rest of communities. This study corroborates other existing studies regarding the Catalan and Spanish scenario on the presence of echo chambers and on the existence of social bots with their tendency to basically amplify content; it also uncovers the lack of existence of cross-conversation between the independentist and unionist political block claimed in other studies. [ABSTRACT FROM AUTHOR]

Background: Protecting public health from infectious diseases often relies on the cooperation of citizens, especially when self-care interventions are the only viable tools for disease mitigation. Accordingly, social aspects related to public opinion have been studied in the context of the recent COVID-19 pandemic. However, a comprehensive understanding of the effects of opinion-related factors on disease spread still requires further exploration. Methods: We propose an agent-based simulation framework incorporating opinion dynamics within an epidemic model based on the assumption that mass media channels play a leading role in opinion dynamics. The model simulates how opinions about preventive interventions change over time and how these changes affect the cumulative number of cases. We calibrated our simulation model using YouGov survey data and WHO COVID-19 new cases data from 15 different countries. Based on the calibrated models, we examine how different opinion-related factors change the consequences of the epidemic. We track the number of total new infections for analysis. Results: Our results reveal that the initial level of public opinion on preventive interventions has the greatest impact on the cumulative number of cases. Its normalized permutation importance varies between 69.67% and 96.65% in 15 models. The patterns shown in the partial dependence plots indicate that other factors, such as the usage of the pro-intervention channel and the response time of media channels, can also bring about substantial changes in disease dynamics, but only within specific ranges of the dominant factor. Conclusions: Our results reveal the importance of public opinion on intervention during the early stage of the pandemic in protecting public health. The findings suggest that persuading the public to take actions they may be hesitant about in the early stages of epidemics is very costly because taking early action is critical for mitigating infectious diseases. Other opinion-related factors can also lead to significant changes in epidemics, depending on the average level of public opinion in the initial stage. These findings underscore the importance of media channels and authorities in delivering accurate information and persuading community members to cooperate with public health policies. [ABSTRACT FROM AUTHOR]

Gatekeepers, including prerogative elites and institutions, possess multifaceted tools for controlling information. Historically, these gatekeepers have systematically instrumentalized visual information to shape audience perceptions in alignment with specific agendas. However, the advent of social media platforms has disrupted these power dynamics, empowering audiences through user‐driven visual information exchanges. This has led to visual audience gatekeeping whereby users act as audience gatekeepers by selectively disseminating visual content, thus shaping information diffusion. While this democratisation of gatekeeping holds considerable promise for user empowerment, it also presents risks. These risks stem from the inherently persuasive yet manipulative qualities of visual content, compounded by users' susceptibility to unconscious biases, especially during polarising events. Therefore, we critically investigated visual audience gatekeeping in the context of the Russo–Ukrainian War, specifically focusing on a Reddit subforum devoted to Russia‐related discussions. We find that visual audience gatekeeping operates within a paradigm that reflects the social reality the audience embraces. Audience gatekeepers disseminate visual information both to reproduce and defend an idealised conception of this social reality. Collectively, they produce a visual echo chamber characterised by low information diversity, which, in turn, reinforces and perpetuates the incumbent paradigm. However, heightened social tensions can trigger a paradigm shift and amplify the reproduction and defence processes, increasing the potential for the diffusion of more radical and extreme visual narratives. Based on our findings, we propose a theoretical model of visual audience gatekeeping, which has important implications for research on visuals, gatekeeping and social media platforms. [ABSTRACT FROM AUTHOR]

The current article explains why netizens are escaping the political polarization observed in their activities on social media during the 2014 and 2019 Indonesian presidential elections. The research data were obtained from in-depth interviews with a number of netizens who were activists on social media and engaged in political polarization. The existing political polarization had been bolstered by netizen's activities that were rampant across various echo chambers, which were established and driven by ideological and affective elements. Netizens succeeded in escaping the existing political polarization on account of promises broken by the pair of presidential-vice presidential candidates they supported and due to a natural drive of the election being over. Nevertheless, this article reveals that netizen's escape from political polarization on social media does not necessarily suggest the end of the existing political polarization. The present study found that netizen's political polarization on social media has shifted to political polarization awareness and latent political polarization. This clarifies that the existing political polarization has simply evolved into a new political polarization. The findings in this research may have implications on factors that threaten democracy in the general election system or new relations of political communication in the era of new media. [ABSTRACT FROM AUTHOR]

Analyzing data from a survey of U.S. adults (N = 509), our study examines the role of partisan media in (a) shaping people's perceptions of the Black Lives Matter (BLM) movement, (b) producing an echo-chamber effect, influencing users to believe that other people have an opinion similar to their own, and (c) creating a polarized public opinion environment, where people hold more extreme perspectives on BLM. Left-wing media consumption was positively correlated with favorable perceptions of BLM, while right-wing media consumption had a negative correlation, suggesting that partisan media could influence users' own perceptions of BLM. Also, left-wing media consumption was positively correlated with the belief that others held favorable views of BLM, while right-wing media consumption was negatively correlated with such a belief, suggesting that partisan media could affect one's beliefs about others' perceptions. Supporting its role in producing an echo-chamber effect, frequent right-wing media usage was associated with a smaller difference between one's own views and their assessment of others' views regarding BLM. Finally, there was a positive correlation between left-wing media consumption and having extreme perceptions of BLM, suggesting that the use of left-wing media could play a role in creating a polarized public opinion climate. [ABSTRACT FROM AUTHOR]

Analyzing data from a survey of U.S. adults (N = 509), our study examines the role of partisan media in (a) shaping people’s perceptions of the Black Lives Matter (BLM) movement, (b) producing an echo-chamber effect, influencing users to believe that other people have an opinion similar to their own, and (c) creating a polarized public opinion environment, where people hold more extreme perspectives on BLM. Left-wing media consumption was positively correlated with favorable perceptions of BLM, while right-wing media consumption had a negative correlation, suggesting that partisan media could influence users’ own perceptions of BLM. Also, left-wing media consumption was positively correlated with the belief that others held favorable views of BLM, while right-wing media consumption was negatively correlated with such a belief, suggesting that partisan media could affect one’s beliefs about others’ perceptions. Supporting its role in producing an echo-chamber effect, frequent right-wing media usage was associated with a smaller difference between one’s own views and their assessment of others’ views regarding BLM. Finally, there was a positive correlation between left-wing media consumption and having extreme perceptions of BLM, suggesting that the use of left-wing media could play a role in creating a polarized public opinion climate.

The echo chamber effect on social media has attracted attention due to its potentially disruptive consequences on society. This study presents a framework to evaluate the impact of personality traits on the formation of echo chambers. Using Weibo and Twitter as platforms, we first define an echo chamber as a network where users interact solely with those sharing their opinions, and quantify echo chamber effects through selective exposure and homophily. We then employ an unsupervised personality recognition method to assign a personality model to each user, and compare the distribution differences of echo chambers and personality traits across platforms and topics. Our findings show that, although user personality trait models exhibit similar distributions between topics, differences exist between platforms. Among 243 personality model combinations, over 20% of Weibo echo chamber members are "ynynn" models, while over 15% of Twitter echo chamber members are "nnnny" models. This indicates significant differences in personality traits among echo chamber members between platforms. Specific personality traits attract like-minded individuals to engage in discussions on particular topics, ultimately forming homogeneous communities. These insights are valuable for developing targeted management strategies to prevent the spread of fake news or rumors. [ABSTRACT FROM AUTHOR]

This study aimed to examine the degree of homogeneity versus heterogeneity of individuals' political information environments across offline and online media types and relations with sociodemographic variables, personality, and political attitudes. In two online surveys, German participants (sample 1: N = 686; sample 2: N = 702) provided information on sociodemographic variables, consumption of political news, and voting intentions, and completed the Big Five Inventory and Right-Wing Authoritarianism (RWA) and Social Dominance Orientation (SDO) scales. Results revealed that absolutely homogeneous political news consumption was evident for a small proportion of individuals (2.04% and 0.43%). Openness (positively) and Agreeableness (negatively) exhibited significant associations with the degree of heterogeneity of political information environments across samples. No consistent patterns of relations with either the ideological attitudes of RWA and SDO or voting intentions were observed. The findings shed light on the existence of absolutely homogeneous political information environments and "who" might be prone to a more homogeneous versus more heterogeneous information environment. [ABSTRACT FROM AUTHOR]

It is widely believed that we are facing a problem, even a crisis, caused by so‐called "echo chambers" and "filter bubbles." Here, David Coady argues that this belief is mistaken. There is no such problem, and we should refrain from using these neologisms altogether. They serve no useful purpose, since there is nothing we can say with them that we cannot say equally well or better without them. Furthermore, they cause a variety of harms, including, ironically, a tendency to narrow public debate within predetermined limits. [ABSTRACT FROM AUTHOR]

The integration of digital technology in modern society has led to an increased importance of the analysis of the digital environment in political elections. The concept of echo chambers and their influence on social networks has received significant attention in recent academic investigations. Echo chambers are commonly referred to as the digital bubble where users participate in a conversation mostly with like-minded others, and it is usually related not only to homophily but can also be directly associated with the effects of social media algorithms. This study examines the Twitter interactions during two Spanish regional elections. Data collection has been performed through Twitter Streaming API, which resulted in a total dataset of 5.5 million tweets. The study analyzes how the political communities interact inside and between them. Also, we replicate this analysis by grouping the political communities by two main affinity blocks (leftright) to evaluate if the effects of homophily are even higher under this hypothesis. Finally, the text of the tweets was analyzed to reinforce the community-interaction analysis and to conduct a sentiment analysis of the interactions. The research re-sults indicate that within each political party community, interactions predominantly occur among individuals who hold similar political views, leading to the creation of echo chambers. These echo chambers become even more powerful when parties are unified into political affinity blocks, with over 97% of interactions occurring within each left-right block. This study aims to contribute to the ongoing academic debate by providing relevant data and reinforcing aspects studied by previous researchers. [ABSTRACT FROM AUTHOR]

Copyright of Divergencia is the property of Taller de Historia Politica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Bulletin of the 'Carol I' National Defence University / Buletinul Universitatii Nationale de Aparare 'Carol I' is the property of Carol I National Defence University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Contemporary communication is often characterized using metaphors as “echo chambers” or “filter bubbles.” Despite the popularity of these terms, however, growing concerns about vague definitions are complemented by empirical evidence that contests their widespread existence. Nonetheless, today’s media environment offers ample opportunities for human and/or algorithmic selection processes with undesirable outcomes. To reconcile these two observations, I propose taking a feedback-loop perspective. Such a perspective explains how processes can reinforce themselves without producing catastrophic consequences. This can solve the paradox that while extrapolating from typical filter bubble and/or echo chamber models results in full radicalization within a short period, this outcome has not, despite the long-standing presence of the relevant technologies, become omnipresent. After mapping different types of feedback loops in communication research, I review various empirical approaches, discuss how they can improve research on feedback-loop phenomena, and consider how this can enable us to build better theories of communication in the digital society.

The proliferation of misinformation and the emergence of echo chambers in the online environment pose significant challenges to modern democracies, directly impacting public opinion and social behaviors. This study focuses on the analysis of a Facebook group centered around a prominent Romanian political figure, boasting 93,800 members and averaging ten daily posts. Using advanced machine learning and AI-based hate speech detection, the study uncovers systematic echo chamber construction and the amplification of misinformation. The findings emphasize the influence of online echo chambers on public opinion and underscore the need to maintain information integrity in the media landscape and communication. This research has important implications for scholars, policymakers, and media practitioners, indicating the critical need to address the challenges posed by misinformation and echo chambers in the online environment.

The transformation of communication processes characterizes modern society due to the expansion of digital and internet technologies, especially in the form of Web 2.0, the development of the post-information society, and post-culture. The communication media space increasingly incorporates networks, digital technologies alter the public sphere as a shared communication platform, the presence of digital identities grows, filter bubbles and echo chambers emerge, and phenomena such as cancel culture, post-truth, and post-journalism rise. Communicative transformations are primarily linked to the impact of new digital media – online media and artificial intelligence, raising questions about how new convergent technologies change the public sphere and, consequently, communicative strategies. It is essential to address a series of questions, including how online communication influences offline communication and how the unconscious and symbolic actor – the digital algorithm AI – shapes specific features of social interactions. The negative impact of artificial intelligence, the spread of pseudoscientific knowledge, and the difficulty of their verification also remain significant factors. The article addresses the emergence of a new social actor – artificial intelligence – and the issue of digital identities that may not fully coincide with a real person or only partially coincide. The purpose of the article is to outline important communicative transformations caused by the development of modern digital media. The implementation of this purpose involves performing the following tasks: describing the main methodological approaches for analyzing the problem of communicative transformations, justifying their dependence on new digital media, and defining general communicative strategies through the emergence of new hybrid digital media. The article concludes that the development of digital technologies, especially AI, leads to communicative transformations in the public sphere, particularly through the formation of echo chambers, digital identities, virtualization, gamification, and blitz communication, shaping the processes of contemporary cultural changes.

Book review: Bruns, A. (2023). Are Filter Bubbles Real? HSE Publishing House.

A filter bubble refers to the phenomenon where Internet customization effectively isolates individuals from diverse opinions or materials, resulting in their exposure to only a select set of content. This can lead to the reinforcement of existing attitudes, beliefs, or conditions. In this study, our primary focus is to investigate the impact of filter bubbles in recommender systems (RSs). This pioneering research aims to uncover the reasons behind this problem, explore potential solutions, and propose an integrated tool to help users avoid filter bubbles in RSs. To achieve this objective, we conduct a systematic literature review on the topic of filter bubbles in RSs. The reviewed articles are carefully analyzed and classified, providing valuable insights that inform the development of an integrated approach. Notably, our review reveals evidence of filter bubbles in RSs, highlighting several biases that contribute to their existence. Moreover, we propose mechanisms to mitigate the impact of filter bubbles and demonstrate that incorporating diversity into recommendations can potentially help alleviate this issue. The findings of this timely review will serve as a benchmark for researchers working in interdisciplinary fields such as privacy, artificial intelligence ethics, and RSs. Furthermore, it will open new avenues for future research in related domains, prompting further exploration and advancement in this critical area. This article is categorized under:Fundamental Concepts of Data and Knowledge > Human Centricity and User InteractionApplication Areas > InternetCommercial, Legal, and Ethical Issues > Ethical ConsiderationsCommercial, Legal, and Ethical Issues > Security and Privacy [ABSTRACT FROM AUTHOR]

Do discussions in echo chambers break down barriers on the acceptance political violence? We know from research within political science, social psychology and communication that deliberation in echo chambers—called enclave deliberation—works as a driver for the amplification of existing political attitudes. Moreover, scholars of radicalization have argued that enclave deliberation can lead to extremist ideas and the acceptance of political violence in response to political grievances. Yet, amplification of attitudes, even into extremist ideas, is not the same as accepting violence. We still lack causal backing for the widespread claim that enclave deliberation fuels acceptance of political violence. Utilizing a novel laboratory experiment with 188 participants, this article delivers causal evidence suggesting that enclave deliberation increases politically aggrieved group members' acceptance of violence. In addition, I find causal evidence supporting the claim that enclave deliberation amplifies existing political attitudes and makes group members' opinions less diverse. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has been the catalyser of one of the most prolific waves of disinformation and hate speech on social media. Amid an infodemic, special interest groups, such as the international movement of "Doctors for the Truth", grew in influence on social media, while leveraging their status as healthcare professionals and creating true echo chambers of COVID-19 false information and misbeliefs, supported by large communities of eager followers all around the world. In this paper, we analyse the discourse of the Portuguese community on Facebook, employing computer-assisted qualitative data analysis. A dataset of 2542 textual and multimedia interactions was extracted from the community and submitted to deductive and inductive coding supported by existing theoretical models. Our investigation revealed the high frequency of negative emotions, of toxic and hateful speech, as well as the widespread diffusion of COVID-19 misbeliefs, 32 of which are of particular relevance in the national context. [ABSTRACT FROM AUTHOR]

Echo chambers and filter bubbles are potent metaphors that encapsulate widespread public fear that the use of social media may limit the information that users encounter or consume online. Specifically, the concern is that social media algorithms combined with tendencies to interact with like-minded others both limits users’ exposure to diverse viewpoints and encourages the adoption of more extreme ideological positions. Yet empirical evidence about how social media shapes information consumption is inconclusive. We articulate how characteristics of platform algorithms and users’ online social networks may combine to shape user behavior. We bring greater conceptual clarity to this phenomenon by expanding beyond discussion of a binary presence or absence of echo chambers and filter bubbles to a richer set of outcomes incorporating changes in both diversity and slant of users’ information sources. Using a data set with over four years of web browsing history for a representative panel of nearly 200,000 U.S. adults, we analyzed how individuals’ social media usage was associated with changes in the information sources they chose to consume. We find differentiated impacts on news consumption by platform. Increased use of Facebook was associatedwith increased information source diversity and a shift toward more partisan sites in news consumption; increased use of Reddit with increased diversity and a shift toward more moderate sites; and increased use of Twitter with little to no change in either. Our results demonstrate the value of adopting a nuanced multidimensional view of how social media use may shape information consumption. [ABSTRACT FROM AUTHOR]

In the context of the China-USA trade dispute, this study reports a discourse analysis of legitimation tactics used in the People's Daily, a major English-language news outlet produced by the Communist Party of China (CPC). My analysis centres on a dataset of 65 commentaries between March 2018 and January 2020, and identifies the five key tactics at work: authorization, moralization, rationalization, hypothetical future, and integration. These tactics (and their sub-tactics) are deployed for delegitimating the US-initiated "America First" trade policy, and for legitimating the Chinese state's position and countermeasures. Orienting to Western scholarship about the news media's role as an "echo chamber" for State/political agendas, I compare the pattern of legitimation in the People's Daily commentaries with the pattern previously found in an analysis of Chinese state white papers. This comparison highlights key similarities but also differences in terms of genre, language, and ideological coherence. [ABSTRACT FROM AUTHOR]

This study aims to understand the determinants of escape from echo chambers. Social media users can control the content to which they are exposed by confining their contacts to like-minded individuals. The resulting echo chamber effect can reinforce existing views and discourage rational discussion. We conducted a survey with a representative sample of 1969 respondents in 2020. Contrary to common expectation, a liberal political orientation was insignificant in predicting reference to differing views, but political partisanship, media trust, time spent on social media, education levels, and gender were significant. Those who spent more time on social media and had lower trust in media were found to refer to other views more frequently and were less susceptible to the echo chamber effect. The results of this study suggest that open-mindedness, independence, critical scepticism, and social activeness are significant resources for one to escape from the echo chamber. [ABSTRACT FROM AUTHOR]

This study aimed to examine public responses to patriarchal ideology through language, as expressed by Andrew Tate on the fringe platform Rumble. Rumble is generally known for hosting far-right content, serving as a refuge for public figures who have been de-platformed from mainstream social media. This study used a combination of netnographic and archival data collection with attitudinal appraisal theory to evaluate public responses. The comment sections of four podcast videos by 'TateSpeech' on Rumble were selected as the primary data source. Analysis of the affect, judgment, and appreciation of the public regarding the patriarchal ideology of Andrew Tate was then carried out. The results showed that the majority of the public comments towards the videos were positive. The deplatforming of Andrew Tate triggered the Streisand effect, resulting in a seeming increase in his level of support after his removal from mainstream social media. Based on these findings, this study concluded that the patriarchal ideology was expressed in an attempt to increase online reach by manipulating social media language content to attract more followers, particularly the young male audience. [ABSTRACT FROM AUTHOR]

The Epistemic Bubble and the Echo Chamber are two phenomena of the Post-Truth area that deny scientific knowledge. The Epistemic Bubble exposes the individual to unbalanced arguments by eliminating knowledge outside the bubble and strengthening trust in the knowledge within it. In contrast, the Echo Chamber does not eliminate the knowledge outside the chamber but makes it unreliable. This unreliability of knowledge outside the room is accompanied by an increase in trust in knowledge inside the Echo Chamber. Both of these phenomena are common in building trust in knowledge within their community and distrust of scientific knowledge. In this paper, using the analytical-descriptive method, a solution to get out of the Epistemic Bubble and the Echo Chamber is presented. In this path, first, the two phenomena of Epistemic Bubbles and Echo Chambers are examined. Then Hoyningen-Huene’s Systematicity theory will be introduced. Systematicity theory shows that in common subjects, scientific knowledge in nine dimensions is more systematic than everyday knowledge. According to this theory, systematicity means that scientific knowledge is not purely random or accidental, is not chaotic, not completely unplanned nor unordered, and is methodological. The results show that the comparative nature of this theory helps to distinguish between knowledge in the Epistemic Bubble or Echo Chamber and Science. This theory will help us find a way to check the reliability of the acquired knowledge and make it possible for the person to get out of the Epistemic bubble and the Echo Chamber.

The guest editor of this issue, Sergey Volodenkov, is a recognized expert in digital political communications, manipulation and propaganda technologies in modern informational confrontations, public consciousness management, problems of national information security and hybrid wars. His editorial article presents this thematic issue dedicated to the phenomenon of digitalization of political processes and digital politics in general. The purpose of the issue is to demonstrate the achievements of Russian political scientists who develop their original approaches and work in collaboration with foreign academics in political communication studies and demonstrate the lines of the most rigorous research.