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One of the effects of the continuing COVID-19 pandemic has been to further accelerate the incorporation of social media activities into political and electoral campaigning. Especially as a result of lockdowns and other restrictions to offline public life, overall social media use has increased in many countries; health concerns have severely curtailed conventional in-person political campaigning activities, from doorknocking to mass rallies (even if some candidates are openly flouting health measures in order to appeal to fringe, COVID-denialist voters); and concerns about the safety of in-person voting processes have also led to a growth in postal voting well ahead of election day, potentially increasing the importance of political messaging early on in election campaigns. In addition, of course, the pandemic itself, and the health, economic, and social measures taken by different governments to address and manage its implications, have also become a dominant theme in most political contests. Political parties around the world have scrambled to keep up with and engage with these changing circumstances, voter behaviours, and political debates, and it is therefore time to re-examine the current state of affairs. This panel does so by focussing on social media campaigning in two of the most recent major national elections: the German federal election campaign in August and September 2021, and the Australian federal election campaign in March to May 2022. The four papers included in this panel examine political campaigning, public engagement, and journalistic coverage on Facebook and Twitter, as well as political advertising practices on Facebook, and in combination offer a very timely new perspective on electioneering in the final stages of a multi-year global pandemic.

In the heyday of social media, individuals around the world held high hopes for the democratizing force of social media; however, in light of the recent public outcry of privacy violations, fake news, and Russian troll farms, much of optimism toward social media has waned in favor of skepticism, fear, and outrage. This special issue critically explores the question, “Is social media for good or evil?” While good and evil are both moral terms, the research addresses whether the benefits of using social media in society outweigh the drawbacks. To help conceptualize this topic, we examine some of the benefits (good) and drawbacks (evil) of using social media as discussed in eight papers from the 2017 International Conference on Social Media and Society. This thematic collection reflects a broad range of topics, using diverse methods, from authors around the world and highlights different ways that social media is used for good, or evil, or both. We conclude that the determination of good and evil depends on where you stand, but as researchers, we need to go a step further to understand who it is good for and who it might hurt.

The study applies and expands the routine activity theory to examine the dynamics of online harassment and violence against women on Twitter in India. We collected 931,363 public tweets (original posts and replies) over a period of 1 month that mentioned at least one of 101 influential women in India. By undertaking both manual and automated text analysis of “hateful” tweets, we identified three broad types of violence experienced by women of influence on Twitter: dismissive insults, ethnoreligious slurs, and gendered sexual harassment. The analysis also revealed different types of individually motivated offenders: “news junkies,” “Bollywood fanatics,” and “lone-wolves”, who do not characteristically engage in direct targeted attacks against a single person. Finally, we question the effectiveness of Twitter’s form of “guardianship” against online violence against women, as we found that a year after our initial data collection in 2017, only 22% of hostile posts with explicit forms of harassment have been deleted. We conclude that in the social media age, online and offline public spheres overlap and intertwine, requiring improved regulatory approaches, policies, and moderation tools of “capable” guardianship that empower women to actively participate in public life.

The chapter presents a new social media research tool for studying subreddits (i.e., groups) on Reddit called Communalytic. It is an easy-to-use, web-based tool that can collect, analyze and visualize publicly available data from Reddit. In addition to collecting data, Communalytic can assess the toxicity of Reddit posts and replies using a machine learning API. The resulting anti-social scores from the toxicity analysis are then added as weights to each tie in a "who replies to whom" communication network, allowing researchers to visually identify and study toxic exchanges happening within a subreddit. The chapter consists of two parts: first, it introduces our methodology and Communalytic’s main functionalities. Second, it presents a case study of a public subreddit called r/metacanada. This subreddit, popular among the Canadian alt-right, was selected due to its polarizing nature. The case study demonstrates how Communalytic can support researchers studying toxicity in online communities. Specifically, by having access to this additional layer of information about the nature of the communication ties among group members, we were able to provide a more nuanced description of the group dynamics.

BACKGROUND An infodemic is an overabundance of information—some accurate and some not—that occurs during an epidemic. In a similar manner to an epidemic, it spreads between humans via digital and physical information systems. It makes it hard for people to find trustworthy sources and reliable guidance when they need it. OBJECTIVE A World Health Organization (WHO) technical consultation on responding to the infodemic related to the coronavirus disease (COVID-19) pandemic was held, entirely online, to crowdsource suggested actions for a framework for infodemic management. METHODS A group of policy makers, public health professionals, researchers, students, and other concerned stakeholders was joined by representatives of the media, social media platforms, various private sector organizations, and civil society to suggest and discuss actions for all parts of society, and multiple related professional and scientific disciplines, methods, and technologies. A total of 594 ideas for actions were crowdsourced online during the discussions and consolidated into suggestions for an infodemic management framework. RESULTS The analysis team distilled the suggestions into a set of 50 proposed actions for a framework for managing infodemics in health emergencies. The consultation revealed six policy implications to consider. First, interventions and messages must be based on science and evidence, and must reach citizens and enable them to make informed decisions on how to protect themselves and their communities in a health emergency. Second, knowledge should be translated into actionable behavior-change messages, presented in ways that are understood by and accessible to all individuals in all parts of all societies. Third, governments should reach out to key communities to ensure their concerns and information needs are understood, tailoring advice and messages to address the audiences they represent. Fourth, to strengthen the analysis and amplification of information impact, strategic partnerships should be formed across all sectors, including but not limited to the social media and technology sectors, academia, and civil society. Fifth, health authorities should ensure that these actions are informed by reliable information that helps them understand the circulating narratives and changes in the flow of information, questions, and misinformation in communities. Sixth, following experiences to date in responding to the COVID-19 infodemic and the lessons from other disease outbreaks, infodemic management approaches should be further developed to support preparedness and response, and to inform risk mitigation, and be enhanced through data science and sociobehavioral and other research. CONCLUSIONS The first version of this framework proposes five action areas in which WHO Member States and actors within society can apply, according to their mandate, an infodemic management approach adapted to national contexts and practices. Responses to the COVID-19 pandemic and the related infodemic require swift, regular, systematic, and coordinated action from multiple sectors of society and government. It remains crucial that we promote trusted information and fight misinformation, thereby helping save lives.

Purpose To provide an overview of altmetrics, including their potential benefits and limitations, how they may be obtained, and their role in assessing pharmacoepidemiologic research impact. Methods Our review was informed by compiling relevant literature identified through searching multiple health research databases (PubMed, Embase, and CIHNAHL) and grey literature sources (websites, blogs, and reports). We demonstrate how pharmacoepidemiologists, in particular, may use altmetrics to understand scholarly impact and knowledge translation by providing a case study of a drug‐safety study conducted by the Canadian Network of Observational Drug Effect Studies. Results A common approach to measuring research impact is the use of citation‐based metrics, such as an article's citation count or a journal's impact factor. “Alternative” metrics, or altmetrics, are increasingly supported as a complementary measure of research uptake in the age of social media. Altmetrics are nontraditional indicators that capture a diverse set of traceable, online research‐related artifacts including peer‐reviewed publications and other research outputs (software, datasets, blogs, videos, posters, policy documents, presentations, social media posts, wiki entries, etc). Conclusion Compared with traditional citation‐based metrics, altmetrics take a more holistic view of research impact, attempting to capture the activity and engagement of both scholarly and nonscholarly communities. Despite the limited theoretical underpinnings, possible commercial influence, potential for gaming and manipulation, and numerous data quality‐related issues, altmetrics are promising as a supplement to more traditional citation‐based metrics because they can ingest and process a larger set of data points related to the flow and reach of scholarly communication from an expanded pool of stakeholders. Unlike citation‐based metrics, altmetrics are not inherently rooted in the research publication process, which includes peer review; it is unclear to what extent they should be used for research evaluation.

As a scholarly domain, social media research has come a long way since the term “social media” first appeared in the literature in the early 2000s. Since then, researchers across disciplines have been actively examining the impact of social media on society. According to Web of Science, there are currently over 19,000 academic articles that include the term “social media.” This special issue of American Behavioral Scientist adds to this rapidly growing body of social media research with a focus on exploring (1) networked influence, (2) transmission of (mis)information, and (3) online and offline, which points to an unstated struggle between top-down attempts by governments and large organizations to influence society and bottom-up citizen articulations of needs and actions.

In the era of COVID-19, social media has often been touted as an antidote to physical distancing. With so many Canadians stuck at home due to the pandemic, a new report gives an indication of just where they may be spending their time on social media. The ‘State of Social Media in Canada 2020’ report by the Ryerson University Social Media Lab provides a snapshot of social media adoption and use in Canada. The report includes new data about adoption and the use of Facebook, Instagram and other top Western-owned social media platforms. New for 2020, the report includes information about Canadian use of Chinese-owned social media platforms, messaging apps and blockchain-based social media sites. The survey was conducted between April 9–17, 2020 and is based on a census-balanced online survey of 1,500 online Canadian adults (18+). Highlights from “The State of Social Media in Canada 2020” include: - YouTube (+16%), Instagram (+8%), and LinkedIn (+7%) had the largest increase in the number of daily users, relatively to our data from 2017. - Across all social media platforms, adoption tended to drop off with age. - Young people aged 18–24 are the largest adopters of social media (except for Facebook and LinkedIn). - Social media is more popular with women than it is with men. Women have adopted Facebook, Instagram, Pinterest, Snapchat, TikTok and messaging apps in higher proportions than men. Men have adopted YouTube, LinkedIn, Twitter, Reddit, and Tumblr in higher proportions than women. - Canadians in the highest household income group ($80,000+) are more likely to use LinkedIn, than those who earn less. - While the number of online Canadians on TikTok is relatively small (15%), those who do use the platform visit it regularly (63% daily). - Facebook remains the most popular social media platform in Canada; 83% of online Canadian adults report having a Facebook account, followed by messaging apps (65%), YouTube (64%) and Instagram (51%). - Facebook also has the highest percentage of daily users (77%), followed by messaging apps (69%) and Instagram (69%). - However, all is not rosy for Facebook. Facebook’s share of users aged 18-24, a key demographic for numerous markets, dropped 11% (from 95% in 2017 to 84% in 2020). But Facebook, as a company, made up for the loss with a 22% increase in Instagram users aged 18-24 (from 67% in 2017 to 89% in 2020).

To examine the “digital hygiene” practices of Canadians, we asked 1,500 online Canadian adults about where they get news about COVID-19 from, how often they encounter misinformation on this topic, and what do they do about it. This report was produced by the Social Media Lab at Ted Rogers School of Management, Ryerson University. It is released as part of the Social Media Data Stewardship Project funded by the Canada Research Chairs Program, and the COVID-19 Misinformation Portal, a rapid response project funded by the Canadian Institutes of Health Research.

Not only does this special issue of Information, Communication and Society bring you seven fascinating articles, it also brings together contemporary thinking about community and social media. The ...

Background: An infodemic is an overabundance of information—some accurate and some not—that occurs during an epidemic. In a similar manner to an epidemic, it spreads between humans via digital and physical information systems. It makes it hard for people to find trustworthy sources and reliable guidance when they need it. Objective: A World Health Organization (WHO) technical consultation on responding to the infodemic related to the coronavirus disease (COVID-19) pandemic was held, entirely online, to crowdsource suggested actions for a framework for infodemic management. Methods: A group of policy makers, public health professionals, researchers, students, and other concerned stakeholders was joined by representatives of the media, social media platforms, various private sector organizations, and civil society to suggest and discuss actions for all parts of society, and multiple related professional and scientific disciplines, methods, and technologies. A total of 594 ideas for actions were crowdsourced online during the discussions and consolidated into suggestions for an infodemic management framework. Results: The analysis team distilled the suggestions into a set of 50 proposed actions for a framework for managing infodemics in health emergencies. The consultation revealed six policy implications to consider. First, interventions and messages must be based on science and evidence, and must reach citizens and enable them to make informed decisions on how to protect themselves and their communities in a health emergency. Second, knowledge should be translated into actionable behavior-change messages, presented in ways that are understood by and accessible to all individuals in all parts of all societies. Third, governments should reach out to key communities to ensure their concerns and information needs are understood, tailoring advice and messages to address the audiences they represent. Fourth, to strengthen the analysis and amplification of information impact, strategic partnerships should be formed across all sectors, including but not limited to the social media and technology sectors, academia, and civil society. Fifth, health authorities should ensure that these actions are informed by reliable information that helps them understand the circulating narratives and changes in the flow of information, questions, and misinformation in communities. Sixth, following experiences to date in responding to the COVID-19 infodemic and the lessons from other disease outbreaks, infodemic management approaches should be further developed to support preparedness and response, and to inform risk mitigation, and be enhanced through data science and sociobehavioral and other research. Conclusions: The first version of this framework proposes five action areas in which WHO Member States and actors within society can apply, according to their mandate, an infodemic management approach adapted to national contexts and practices. Responses to the COVID-19 pandemic and the related infodemic require swift, regular, systematic, and coordinated action from multiple sectors of society and government. It remains crucial that we promote trusted information and fight misinformation, thereby helping save lives., peer-reviewed

Facebook “likes” are often used as a proxy of users’ attention and an affirmation of what is posted on Facebook (Gerodimos & Justinussen, 2015). To determine what factors predict “likes,” the authors analyzed Facebook posts made by the campaigns of Hillary Clinton, Bernie Sanders, and Donald Trump, the top three candidates from the 2016 US primary election. Several possible factors were considered, such as the types of posts, the use of pronouns and emotions, the inclusion of slogans and hashtags, references made to opponents, as well as candidate’s mentions on national television. The results of an ordinary least-squared regression analysis showed that the use of highly charged (positive or negative) emotions and personalized posts (first-person singular pronouns) increased “likes” across all three candidates’ Facebook pages, whereas visual posts (posts containing either videos or photos) and the use of past tenses were liked more often by Hillary Clinton and Bernie Sanders’ followers than by Trump’s followers. Television mentions boosted likes on Clinton and Sanders’ posts but had a negative effect on Trump’s. The study contributes to the growing literature on digitally networked participation (Theocharis, 2015) and supports the emerging notion of the new “hybrid media” system (Chadwick, 2013) for political communication. The study also raises questions as to the relevance of platforms such as Facebook to deliberative democratic processes since Facebook users are not necessarily engaging with the content in an organic way, but instead might be guided to specific content by the Facebook timeline algorithm and targeted ads.

Today, billions of people around the world are turning to social media to socialize, conduct business, keep up with the news, as well as discover, discuss, and share information. The significance of this global adoption of a relatively new communication and information technology cannot be overlooked. As a country, Canada has one of the most connected populations in the world. For many Canadians, social media is now a part of their daily routine. Our survey results show that an overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. This makes it critical for policy makers, researchers, and others to have a better grasp of what social media platforms Canadians are using to connect and converse with one another. This report provides a snapshot of the social media usage trends and patterns amongst online Canadian adults based on an online survey of 1,500 participants (see Methods on p. 16 for more details).

Online social media tools are becoming further integrated into the lives of academics. However, there is very little hard data on why and how scholars are using them. The paper presents the results of our ongoing study on how academics are adopting these new tools for communication and information dissemination.Les outils de médias sociaux en ligne s’intègrent de plus en plus dans la vie des professeurs-chercheurs. Cependant, il existe peu de données sur les raisons et les façons pour lesquelles on les utilise. Cette communication présente les résultats d’une analyse en cours sur les modes d’adoption, par les professeurs-chercheurs, de ces nouveaux outils de communication et de diffusion de l’information.