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This article explores the growing role of traces and footprints in social science, giving an outline of the main concepts and empirical questions discussed in this special issue. Remarkably, the study of traces (unobtrusive, necessarily interpretative, theory-driven and data-fueled at the same time) considers them as unwillingly insightful and strategic materials. However, the difference between information "intentionally transmitted" and information "accidentally leaked" gets fuzzy especially in online communication and social network. In this sense, by interpreting the "digital data deluge" as a social trace deluge, issues of algorithmic environments, users' participation, datafied biases, and transparency are addressed. Finally, it is argued that traces, data exhaust, and residual information help overcoming standard dichotomies in social science (e.g., human vs. non-human realms, quantitative vs. qualitative, online vs. offline activities), both methodologically and theoretically. [ABSTRACT FROM AUTHOR]

Taking a neo-Kohlbergian approach, we explore the moral reasoning of 486 young Italian users of social network sites exposed to moral dilemmas concerning online hate speech. The aims are to understand what moral reasoning schemas they use as they face homophobic, racist, or sexist online hate speech, and what influence personal values and moral disengagement might have on their moral reasoning process. The results reveal the prevalence of Maintaining Norms reasoning (conformity to rules and authority) in making moral decisions concerning online hate speech and confirms the mediating role of Hate Speech Moral Disengagement in the relationship between personal values and the moral reasoning process. [ABSTRACT FROM AUTHOR]

The paper aims at creating a bridge between media and migration studies and critical algorithm studies. By adopting a media ecological approach and a mutual shaping of technology and society perspective, in this paper, we explore the factors that lead, especially in Italy, to discriminant and stigmatizing image search results, related to specific groups of immigrants living in the country. We performed a content analysis of Google-Images search results with regard to the largest immigrant communities hosted in France, Germany, Italy, and the United Kingdom. Results show that the depiction of Romanian, Albanian, Moroccan, and Algerian immigrant communities on Google.it is flattened on a univocal stigmatized representation that shows them as criminals, which is not the case in other countries. Most of these stigmatizing images derive from local online newspapers, which questions the interplay between newsmaking choices and routines, and algorithms logics. [ABSTRACT FROM AUTHOR]

Scholars and journalistic accounts have devoted growing interest to the centralizing trends characterizing platforms and the "platform society." They often oppose this model to the alleged openness, horizontality, and "equality" they attach to "networks." Such depictions seem willing to give up on a thorough consideration of network structure, which appears nowadays less fundamental to reflect on the digital world (and society) than it was 25 years ago. Or even question whether the network society model, as proposed by Castells, is unsuitable for describing contemporary society. In our opinion, the dichotomy opposing the (alleged) openness and egalitarian nature of networks (and of the network society), to the current centralization trends characterizing the platform society, as well as the subsequent assumption that networks are an outdated heuristic tool, derive from a misunderstanding of networks' structure and dynamics. Scholars have shown that the structure of most complex networks can be defined as "scale-free," following a power-law distribution. Complex networks, indeed, show the tendency for some nodes to become more interconnected than others (thus becoming "hubs"). In this, the understanding of network structure proposed in Castells (1996), contrary to the rhetoric considering networks intrinsically as "egalitarian," is still a conceptual and analytical tool of the utmost importance for understanding the so-called "platform society." This paper focuses on networks, network models, and the network society, reviewing what was proposed in Castells (1996). We argue that the social and platform ecosystem we are witnessing today can be understood from the perspective of scale-free networks and is, indeed, consistent with the premises provided in 1996. When observing networks, we address both structure and agency, and both the macro (network morphology) and micro (networked individualism and sociability) levels [ABSTRACT FROM AUTHOR]

This study analyses teenage narratives of digital dating abuse (DDA) by focusing on how the sense-giving processes of social media usage practices interplay with sexist stereotypes and gender scripts. The theoretical framework draws upon gender-oriented studies on DDA and upon literature on gender and technology, which accounts for the mutual shaping relationship between gender-based social norms, and user negotiations with social media affordances. We carried out seven focus groups in Rome with 43 high school students aged 14 to 16. Responses show that, although both girls and boys perpetrate and suffer DDA on social media, participants interpret it according to gender scripts and classify users based on sexist stereotypes. Findings also reveal that perception of the seriousness of DDA is blurred by the combination of gender scripts and the meanings attached to social media usage practices. DDA is likely to be tolerated unless it has concrete fallout offline, where abuse is tangible. [ABSTRACT FROM AUTHOR]

The FridaysForFuture movement (FFF), launched by Greta Thumberg's school strikes in 2018, has led a new wave of climate activism worldwide. Young people are at the forefront, with social media serving both as mobilizing tools and expressive spaces. Drawing upon literature on youth and digital activism with a generational, situated approach, we account for how both the climate struggle and social media are appropriated by FFF-activists as part of their own youth grassroots politics. Moreover, we explore the activities they mix and the strategies they adopt when moving across online and offline environments. From July 2020 to January 2021, we carried out 6 months of ethnographic work with(in) the FFF-Rome group by blending participant observation of assemblies and protests with digital ethnography on the homonym WhatsApp group. Results' thematic analysis shows that FFF-activists believe climate activism to be their own fight and social media their own battlefield. A generational understanding of digital climate activism emerges at the intersection of the appropriation of the dispute (climate change) and the digital environments (social media). Findings also account for broader logics and strategies adopted by FFF-activists, on and beyond social media. They move seamlessly between online and offline, spanning across and negotiating with different platforms according to political goals and target audiences. These results contribute to overcoming reductive or marginalizing approaches to youth activism, to legitimizing and situating young activists' social media usage practices within an array of grassroots political practices, and to understanding how generational belonging affects such practices in the Italian context. [ABSTRACT FROM AUTHOR]

In this paper, we explore ageist depictions of both young and older people as they emerge from discourses addressing 'other people's' digital media usage practices. We carried out eight focus groups (four with teenagers, four with people aged 65 or older) in two southern European cities (Rome and Barcelona). By negotiating the affordances and constraints of (digital) tools and platforms, people develop their own usage norms and strategies, which might – or might not – be intersubjectively shared. Discourses surrounding usage practices and norms tend to refer to what people understand as an appropriate way of using digital platforms: these discourses proved to be powerful triggers for expressing ageist stereotypes; 'the others' were depicted, by both teenage and older participants, as adopting inappropriate usage practices (with regard to content, form, skills and adherence to social norms). These reflections proved to have broader implications on how other age cohorts are perceived: participants tended to take discourses on digital media usage as an opportunity for making generalised judgements about 'the others', which address their manners, as well as their attitude towards communication and social life. Inter-group discrimination processes and ageist stereotypes play a major role in shaping the strong moralistic and patronising judgements expressed by older and younger participants towards 'the other' age cohort. [ABSTRACT FROM AUTHOR]

The article addresses the teenagers' perception of those forms of teen dating violence that occur on digital media (i.e., 'digital dating abuse,' DDA), such as snooping around, controlling behaviors, and aggravated sexting. It contributes to the strand of studies on DDA and those on the mutual shaping relationship between technology and society by focusing on the interplay between social media usage practices and dating practices among teenagers narrating DDA. We carried out 7 focus groups in Rome with 43 high school students aged 14–16 years, in order to explore whether and how the negotiation with social media platforms and the interaction between dating partners affect the adolescents' perception of DDA. The thematic analysis reveals that participants refer to idioms of practice informed by media ideologies when seeing DDA as an issue related to social media, or to dating scripts supported by romantic ideologies when seeing it as an issue related to dating. They oscillate between these two interpretative 'lenses,' thus intertwining the platform social usage norms and broader societal beliefs surrounding dating relationships. In doing so, they give rise to 'digital dating scripts' and 'romantic media ideologies' which nowadays rule their dating relationships in a very specific way. [ABSTRACT FROM AUTHOR]

This article analyzes the idioms of practice and media ideologies of adolescents and older adults regarding mobile digital media usage, and how they are negotiated within and between age cohorts. We formed aged-based focus groups in Rome and Barcelona (four groups of 16- to 19-year-olds and four of 65- to 85-year-olds). The comparison provides new insights on older individuals' communication practices, often overshadowed by the focus on youth. Participants of both age groups explained they do media in their own way, which is perceived as "the right" (or legitimate) way. Strategies and hierarchies differ with age, according to meanings and rankings attributed to media choices in a communicative environment of affordances, or polymedia. The results suggest that differentiated generation-based idioms of practice and media ideologies are in operation in each cohort while, in both cases, refer to adaptative and goal-oriented communications. [ABSTRACT FROM AUTHOR]

The paper explores the perception and negotiation of gender representations and scripts among Italian dating app users. Adopting a gender perspective and a socio-technical framework, it describes how dating app affordances support the performance of gender scripts and explores how users negotiate gender scripts. We conducted 8 focus groups involving 39 dating app users from a variety of gender and sexual orientations. The results show how shared usage norms and practices disclose dominant gender scripts at play, and illustrate how some users try to subvert them. Participants are aware of a number of traditional and stereotypical gender scripts and broadly adhere to them; nevertheless, such scripts are partially reframed in the context of dating apps. Dating apps are mainly understood in terms of affordances, when participants highlight the ways in which they or their mates reduce the incidence of traditional scripts. On the other hand, dating apps' constraints emerge when some users try to detach themselves from common scripts, or when they struggle to perform traditional scripts in a context they perceive as inadequate. Results highlight how dating app users negotiate gender scripts: affordances and constraints of dating apps shape user practices and influence the performance and 'de-inscription' of gender scripts, without directly fostering the adoption of alternative scripts. [ABSTRACT FROM AUTHOR]

This article analyzes the Twitter conversations carrying the hashtag #NiUnaMenos produced in Argentina during the time of the marches in 2015, 2016, and 2017, by adopting a quali-quantitative method. After describing the origins of NiUnaMenos, we illustrate the mobilizing force of femicide in a context of technopolitical use of social media by women's movements. Data analysis diachronically shows to what extent and in what terms conversations on NiUnaMenos refer to gender violence and femicide. The conclusions highlight the effective combination of femicide narrative, the Argentinean human rights tradition, and Twitter usages in transforming violence against women into a general civic matter. [ABSTRACT FROM AUTHOR]

The aim of this special issue is to collect and put into dialogue theoretical, methodological, critical, and applied contributions dealing with the variety of Information and Communication Technology (ICT) uses in community development. In this introduction to the special issue, we first provide the readers with a quick overview of the field, conducted by analyzing the lexicon of titles and abstracts published in the past few years in information and communication technology for development journals. We will then briefly elaborate on the concept of "users" as a pivotal dimension that can shed light on the complex interlinkages between technological artifacts and sociocultural factors involved in ICT usage. The focus on user, in fact, highlights some relevant issues concerning the relation between ICT, people and communities. Drawing on these premises, the papers collected in the special issue will then be briefly described. These contributions come from a variety of theoretical and methodological approaches, include the uptake of innovative technologies as well as top-down interventions, and focus on different regions of the world. The cross-fertilization and the range of disciplines included in this special issue result in a kaleidoscope in which different facets can be mixed, showing the individual, community, and societal aspects of community use of ICT for development. [ABSTRACT FROM AUTHOR]

This multi-authored article presents new, investigative strands of the research unit GEMMA (GEnder and Media Matters, established in 2010) at the Department of Communication and Social Research of the Sapienza University of Rome. GEMMA's main objective is to explore the multi-layered relationships between gender and media in the peculiar conditions of the contemporary 'media saturated' environment, employing an approach that maps the media's potential for changing cultural representations of gender. Without renouncing the representational approach, the recent iterations of GEMMA research have shifted focus towards addressing new objects and paths of investigation. Ranging across a variety of media and genres, from television and advertising, to public communication campaigns, from web-based social networks to dating platforms, from documentary to fiction, from wellness reality to cooking shows, the latest works that have been conducted during the 2016–19 years investigate forms of agency displayed by individuals, groups or institutions directly involved and engaged in the production and consumption of media texts relevant to gender. In this article, the authors summarize their research as contributing to the composition of a polyphonic text on gender and media in Italy. [ABSTRACT FROM AUTHOR]

In this paper, we address algorithmic imaginary, perception and tactics of Italian dating apps users. Little attention has hitherto been devoted to the ways in which the algorithms employed by mobile dating platforms (to rate users, to manage user visibility, to arrange results) might contrast, or enhance, people's homophily. Our goal is to explore whether and how mobile dating algorithms modify the perception of what we define as "relational filter bubbles"; and whether, and how, users believe dating algorithms reshape (extend or limit) the heterogeneity of their intimate interactions. The paper builds on literature addressing online dating, the datafication of society, the rise of the so-called quantified self, and of the algorithmic culture. We organized 4 focus groups involving Italian dating apps users, who reported a variety of sexual orientations and of dating apps usage. Overall, while dating apps' algorithms operate in an opaque way, participants developed an "algorithmic imaginary". Moreover, they appreciate the role of mobile dating apps in reinforcing their relational homophily (their tendency to like people that are "similar" to them), whilst, at the same time, mainly using these apps for increasing the diversity of their intimate interactions in terms of extending their preexisting networks. [ABSTRACT FROM AUTHOR]

In this paper we examine the use of Twitter and Facebook in two dramatic earthquakes that hit Italy: L'Aquila (in 2009) and Emilia (in 2012). Indeed, disasters disrupt everyday life and engage people in meaning-making processes aimed at recovering meaning and control of their world. In these cases, we argue that the use of social media may contribute to social representations processes and functions: cognitive coping, social sharing of emotions, preserving self-efficacy, boosting identity, and community empowerment. Different methods were adopted to examine the use of social media in the immediate aftermath, a few days after, and in the medium-long term. Differences between the events, combined with the differences between Twitter and Facebook, entailed a multiplicity of uses. Nevertheless, the analyses point to the same conclusions: by fostering new forms of communication and encounters, social media played an increasingly important role during and after the earthquakes. First, they were used for providing information and material coping, then they favored the social sharing of emotions and joint remembering, and finally they contributed to claiming voice and control. Results thus suggest that the use of social media favored different representational functions, which progressively contributed to community empowerment. [ABSTRACT FROM AUTHOR]

In the context of an international research project on older people’s relations with and through mobile telephony, Italian participants spontaneously provided narrations on mobile phones that appeared to be structured around strong stereotypes. Respondents show a twofold representation of mobile phones either as a simple communication tool or as a ‘hi-tech’ device, which generates multifaceted stereotypes. More specifically, when the mobile phone is considered as a simple communication tool, age-based stereotypes address younger people’s bad manners, while gendered stereotypes depict women as ‘chatterboxes’ or ‘social groomers’. On the other hand, when the mobile phone is considered a ‘hi-tech’ device, age-based stereotypes underline younger people’s advanced user skills, while gendered stereotypes focus on women’s lack of competencies. Based on that, we provide a conceptual framework for analysing such stereotyped – and apparently conflicting – representations. Interestingly, while some issues also emerged in other countries, the masculine assumption that women are less-skilled mobile phone users appears as a peculiarity of Italian respondents. [ABSTRACT FROM AUTHOR]

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Social media have become a relevant arena for different forms of civic engagement and activism. This article focuses on the affordances and constraints of different social media platforms as they are perceived by Italian activists. Instead of focusing on single protest movements, or on single platforms, we adopt a media ecological approach and consider a variety of environments where people can choose to express protest-related content. Our main goal is to explore whether, and how, the affordances and constraints of different social media platforms are perceived by users, and how such perceived differences are integrated in everyday social media activities. To this end, we combined in-depth interviews with an adapted version of the cognitive walkthrough and thinking aloud techniques. Respondents reported that they act on social media platforms according to specific representations of what each platform 'is', and how it works. Such perceptions affect users' protest-related social media practices. Although they perceive major social media platforms filtering strategies and are aware, to different extents, of their commodified nature, they report continuing to use them for activism-related communication, often adopting an instrumental approach. [ABSTRACT FROM AUTHOR]

Digital technology users are growingly involved in what has been described as convergence culture or participatory cultures. In this context, a major role is played by user-generated content. This article focuses on the participatory practices related to Little Big Planet (LBP) 1, a PlayStation platform video game that encourages users to create and share their own gaming levels. Our theoretical framework refers both to convergence culture and to a specific perspective of game studies that focuses on the cultural and social dimensions that are to be found in gaming and modding practices. A total of 8,829 Italian PlayStation Network (PSN) users were surveyed regarding their gaming practices, their attitude toward digital technology, and their LBP usage experiences. The results show that familiarity with digital technology and a socially oriented attitude to digital technology are clearly related to “active LBP engagement.” Moreover, PSN users are more likely than other digital platforms users to create their own content. [ABSTRACT FROM PUBLISHER]

The goal of this article is to build a conceptual framework for understanding the role of social media in the so-called ‘Arab Spring’, considering two different disciplinary perspectives: International Relations and Internet Studies. More specifically, it relies on literature on Middle Eastern political systems and on social network sites. It also refers to literature that examines the relationship between (social) media engagement and civic engagement. Building on this foundation, the article analyses the main attempts to evaluate the ‘impact’ of social media on the ‘Arab Spring’ from specific perspectives. Commentators have tended to adopt a dichotomous vision of the topic, either emphasizing the ‘revolutionary’ role of social media or totally minimizing its role; this article defines them as digital evangelists and techno-realists respectively. In order to prove their point of view, both sides focus on the same issues. The study critically analyses the main issues, discussing how they have been interpreted by both digital evangelists and techno-realists. Through a multidisciplinary framework, it proposes a more nuanced picture of the relationship between the social media and the ‘Arab Spring’. [ABSTRACT FROM PUBLISHER]

Social media is increasingly being used to express opinions and attitudes toward vaccines. The vaccine stance of social media posts can be classified in almost real-time using machine learning. We describe the use of a Transformer-based machine learning model for analyzing vaccine stance of Italian tweets, and demonstrate the need to address changes over time in vaccine-related language, through periodic model retraining. Vaccine-related tweets were collected through a platform developed for the European Joint Action on Vaccination. Two datasets were collected, the first between November 2019 and June 2020, the second from April to September 2021. The tweets were manually categorized by three independent annotators. After cleaning, the total dataset consisted of 1,736 tweets with 3 categories (promotional, neutral, and discouraging). The manually classified tweets were used to train and test various machine learning models. The model that classified the data most similarly to humans was XLM-Roberta-large, a multilingual version of the Transformer-based model RoBERTa. The model hyper-parameters were tuned and then the model ran five times. The fine-tuned model with the best F-score over the validation dataset was selected. Running the selected fine-tuned model on just the first test dataset resulted in an accuracy of 72.8% (F-score 0.713). Using this model on the second test dataset resulted in a 10% drop in accuracy to 62.1% (F-score 0.617), indicating that the model recognized a difference in language between the datasets. On the combined test datasets the accuracy was 70.1% (F-score 0.689). Retraining the model using data from the first and second datasets increased the accuracy over the second test dataset to 71.3% (F-score 0.713), a 9% improvement from when using just the first dataset for training. The accuracy over the first test dataset remained the same at 72.8% (F-score 0.721). The accuracy over the combined test datasets was then 72.4% (F-score 0.720), a 2% improvement. Through fine-tuning a machine-learning model on task-specific data, the accuracy achieved in categorizing tweets was close to that expected by a single human annotator. Regular training of machine-learning models with recent data is advisable to maximize accuracy., Competing Interests: AT received grants from MSD for invited lectures. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Cheatham, Kummervold, Parisi, Lanfranchi, Croci, Comunello, Rota, Filia, Tozzi, Rizzo and Gesualdo.)

In the context of the European Joint Action on Vaccination, we analyzed, through quantitative and qualitative methods, a random sample of vaccine-related tweets published in Italy between November 2019 and June 2020, with the aim of understanding how the Twitter conversation on vaccines changed during the first phase of the pandemic, compared to the pre-pandemic months. Tweets were analyzed by a multidisciplinary team in terms of kind of vaccine, vaccine stance, tone of voice, population target, mentioned source of information. Multiple correspondence analysis was used to identify variables associated with vaccine stance. We analyzed 2,473 tweets. 58.2% mentioned the COVID-19 vaccine. Most had a discouraging stance (38.1%), followed by promotional (32.5%), neutral (22%) and ambiguous (2.5%). The discouraging stance was the most represented before the pandemic (69.6%). In February and March 2020, discouraging tweets decreased intensely and promotional and neutral tweets dominated the conversation. Between April and June 2020, promotional tweets remained more represented (36.5%), followed by discouraging (30%) and neutral (24.3%). The tweets' tone of voice was mainly polemical/complaining, both for promotional and for discouraging tweets. The multiple correspondence analysis identified a definite profile for discouraging and neutral tweets, compared to promotional and ambiguous tweets. In conclusion, the emergence of SARS-CoV-2 caused a deep change in the vaccination discourse on Twitter in Italy, with an increase of promotional and ambiguous tweets. Systematic monitoring of Twitter and other social media, ideally combined with traditional surveys, would enable us to better understand Italian vaccine hesitancy and plan tailored, data-based communication strategies., Competing Interests: AT received grants from MSD for invited lectures. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer CN declared a past collaboration with the authors FG, MR, AT, and CR to the handling editor., (Copyright © 2022 Gesualdo, Parisi, Croci, Comunello, Parente, Russo, Campagna, Lanfranchi, Rota, Filia, Tozzi and Rizzo.)