Everyday the Same Picture: Popularity and Content Diversity

Facebook is flooded by diverse and heterogeneous content, from kittens up to music and news, passing through satirical and funny stories. Each piece of that corpus reflects the heterogeneity of the underlying social background. In the Italian Facebook we have found an interesting case: a page having more than $40K$ followers that every day posts the same picture of a popular Italian singer. In this work, we use such a page as a control to study and model the relationship between content heterogeneity on popularity. In particular, we use that page for a comparative analysis of information consumption patterns with respect to pages posting science and conspiracy news. In total, we analyze about $2M$ likes and $190K$ comments, made by approximately $340K$ and $65K$ users, respectively. We conclude the paper by introducing a model mimicking users selection preferences accounting for the heterogeneity of contents

Influence of the 'News Finds Me' Perception on News Sharing and News Consumption on Social Media

The study focuses on ‘News Finds Me’ perception, i.e. the belief that users can stay informed enough without actively following traditional news media while relying on social media and personal contacts. The text analyses the influence between this perception and news consumption (“news internalising”) and sharing (“news externalising”). Uses & Gratifications sought (“information seeking”, “social interaction” and “impression management”) were considered as moderating variables. Survey based results (n = 96) show that ‘News Finds Me’ perception is positively correlated with news internalising but not with news externalising. It is thus concluded that the mere presence of the ‘News Finds Me’ perception does not encourage news sharing attitudes. The study also brings evidence to support a relationship between news internalising and news externalising habits, which influence each other mutually and can moderate other factors in news consumption and dissemination on social media. It is concluded that the presence of the ‘News Finds Me’ perception does not encourage news sharing attitudes

Black Lives Matter and the Effects of a Social Media User\u27s Connection to Differing Ethnic and Racial Backgrounds

Millions of citizens, including a large number of whites, joined the Black Lives Matter (BLM) movement in the summer of 2020. An important factor that mobilized them toward BLM was the rise of social media. Recognizing the critical importance of social media, the present research explores the link between social media use and citizens’ behavior on the BLM movement in the United States. The focus of the analysis is on the issue of diversity. Because diversity on social networks can expose individuals to more diverse views, one can hypothesize that a higher number of one’s friends and followers being from different racial and ethnic backgrounds can lead to higher levels of activism in the BLM movement. In order to test the hypotheses, we conducted a survey in the United States specifically tailored for this study. A statistical analysis on the survey data reveals that diversity in one\u27s social networks on social media significantly enhances his or her likelihood of participation in the BLM protest. Yet, the significant effect disappears when the samples are limited to white respondents; it is clearly non-white respondents who are driving the significant result of diversity of social networks. This study makes an important contribution to the literature of social movements by dissecting the mechanism through which social media shapes citizens’ relations with BLM. Findings from this study generate critical implications that are essential in understanding dynamics of social movements in modern society

News Sharing in Social Media: A Review of Current Research on News Sharing Users, Content, and Networks

This article provides a review of scientific, peer-reviewed articles that examine the relationship between news sharing and social media in the period from 2004 to 2014. A total of 461 articles were obtained following a literature search in two databases (Communication & Mass Media Complete [CMMC] and ACM), out of which 109 were deemed relevant based on the study’s inclusion criteria. In order to identify general tendencies and to uncover nuanced findings, news sharing research was analyzed both quantitatively and qualitatively. Three central areas of research—news sharing users, content, and networks—were identified and systematically reviewed. In the central concluding section, the results of the review are used to provide a critical diagnosis of current research and suggestions on how to move forward in news sharing research

Online Popularity and Topical Interests through the Lens of Instagram

Online socio-technical systems can be studied as proxy of the real world to investigate human behavior and social interactions at scale. Here we focus on Instagram, a media-sharing online platform whose popularity has been rising up to gathering hundred millions users. Instagram exhibits a mixture of features including social structure, social tagging and media sharing. The network of social interactions among users models various dynamics including follower/followee relations and users' communication by means of posts/comments. Users can upload and tag media such as photos and pictures, and they can "like" and comment each piece of information on the platform. In this work we investigate three major aspects on our Instagram dataset: (i) the structural characteristics of its network of heterogeneous interactions, to unveil the emergence of self organization and topically-induced community structure; (ii) the dynamics of content production and consumption, to understand how global trends and popular users emerge; (iii) the behavior of users labeling media with tags, to determine how they devote their attention and to explore the variety of their topical interests. Our analysis provides clues to understand human behavior dynamics on socio-technical systems, specifically users and content popularity, the mechanisms of users' interactions in online environments and how collective trends emerge from individuals' topical interests.Comment: 11 pages, 11 figures, Proceedings of ACM Hypertext 201

Effectiveness of Corporate Social Media Activities to Increase Relational Outcomes

This study applies social media analytics to investigate the impact of different corporate social media activities on user word of mouth and attitudinal loyalty. We conduct a multilevel analysis of approximately 5 million tweets regarding the main Twitter accounts of 28 large global companies. We empirically identify different social media activities in terms of social media management strategies (using social media management tools or the web-frontend client), account types (broadcasting or receiving information), and communicative approaches (conversational or disseminative). We find positive effects of social media management tools, broadcasting accounts, and conversational communication on public perception

Managing Diverse Online Networks in the Context of Polarization:Understanding how we grow apart on and through social media

Social media enable their users to be connected with a diverse group of people increasing their chances of coming across divergent viewpoints. Thus, network diversity is a key issue for understanding the potentials of social media for creating a cross-cutting communication space that is one of the premises of a functioning democracy. This article analyzes the strategies social media users adopt to manage their network diversity in the context of increasing polarization. The study is based on 29 semi-structured interviews with diverse social media users from Turkey and qualitative network maps. Furthermore, the study adopts a cross-platform approach comparing Facebook, Twitter, and WhatsApp in relation to the diversity of their users’ networks. The study shows that social media users adopt different strategies interchangeably in specific contexts. These strategies include visible (unfriending, blocking) and invisible (muting, unfollowing, and ignoring) forms of disconnection, debating, observing divergent opinions, and self-censorship. Political interest of social media users, political climate, issue sensitivity, and “imagined affordances” of social media platforms play a role in users’ choices about which strategy to choose when they are confronted with divergent viewpoints through their diverse online networks. Building on the unfriending literature that points out to rather partisan users, who unfriend, unfollow or block others, this article demonstrates that in peak moments of polarization, also the politically disengaged or moderate users disconnect from diverse others

Does Campaigning on Social Media Make a Difference? Evidence from candidate use of Twitter during the 2015 and 2017 UK Elections

Social media are now a routine part of political campaigns all over the world. However, studies of the impact of campaigning on social platform have thus far been limited to cross-sectional datasets from one election period which are vulnerable to unobserved variable bias. Hence empirical evidence on the effectiveness of political social media activity is thin. We address this deficit by analysing a novel panel dataset of political Twitter activity in the 2015 and 2017 elections in the United Kingdom. We find that Twitter based campaigning does seem to help win votes, a finding which is consistent across a variety of different model specifications including a first difference regression. The impact of Twitter use is small in absolute terms, though comparable with that of campaign spending. Our data also support the idea that effects are mediated through other communication channels, hence challenging the relevance of engaging in an interactive fashion