The Social, Civic, and Political Uses of Instagram in Four Countries

Instagram has more than 1 billion monthly users. Yet, little is known about how citizens engage with this platform. In this paper, we use representative survey data to examine social, civic, and political uses of Instagram by citizens in four countries: the United States, Canada, the United Kingdom, and France (n=6,291). The survey was administered to an online panel matched to the age and gender profile of each country (September to November 2019). About 40% of respondents used Instagram. This platform is especially popular among young adults (73%). Users’ network sizes are typically small, as a third of users have less than 15 followers and follow less than 15 other accounts. About 15% of users followed news organizations, a nonprofit organization or charity, or a political candidate or party. While users rarely cultivate networks with ties to these formal organizations and groups, civic and political information flows on this platform. Approximately 57% of users report seeing political information on Instagram during the previous 12 months. These findings suggest political information on Instagram flows through informal rather than formal networks. This paper establishes the importance of social, civic, and political uses of Instagram among citizens in four Western countries. Furthermore, we offer insights into the segments of the population that are intense users of Instagram, which helps to understand the role of this platform in civic and political life.

Problematic Content in Spanish Language Comments in YouTube Videos about Venezuelan Refugees and Migrants

On YouTube, we found extensive content relating to the recent Venezuelan refugee movement that mostly affects neighboring countries like Peru and Ecuador. While there are several studies on general hate speech on social media, only a few have focused on the online discussion of the Venezuelan migration crisis representing the Latin American perspective. Here, we analyzed via manual coding and computational text analysis 235,251 comments from 200 YouTube videos (selected according to theoretical criteria) in the Spanish language on the Venezuelan refugee crisis. In our sample, we found a high number of problematic comments in videos on Venezuelan refugees and migrants, of which 32% were offensive comments and 20% were hateful comments. The most common linguistic patterns revealed references to xenophobic, racist, and sexist content, and showed that offensive content and hate speech are not easy to separate. Only a small amount of around 8% of highly active users is responsible for about 40% of the problematic content and these users actively comment on multiple videos, indicating a network structure in our sample. Our results enlighten a much-neglected topic in the discussion about Venezuelan refugees and migrants on YouTube and contribute to an enhanced understanding of online hate speech from a Latin American perspective for better and early detection.

How Many People Live in Politically Partisan Online News Echo Chambers in Different Countries?

Concern over online news echo chambers has been a consistent theme in recent debates on how people get news and information. Yet, we lack a basic descriptive understanding of how many people occupy bounded online news spaces in different countries. Using online survey data from seven countries we find that (i) politically partisan left-right online news echo chambers are real, but only a minority of approximately 5% of internet news users inhabit them, (ii) in every country covered, more people consume no online news at all than occupy partisan online echo chambers, and (iii) except for the US, decisions over the inclusion or exclusion of particular news outlets make little difference to echo chamber estimates. Differences within and between media systems mean we should be very cautious about direct comparisons between different echo chambers, but underlying patterns of audience overlap, and the continued popularity of mainstream outlets, often preclude the formation of large partisan echo chambers.

Voting and Social Media-Based Political Participation

Does online political involvement reinforce or compensate participatory deficiencies at the polls? Extant survey evidence portrays online participation as a weapon of the strong, wielded by a highly politically involved, white, and affluent subset of the American electorate. Surveys face systematic sampling and measurement errors in the domain of political participation, though. In this study, I revisit this question using individual voter registration records that I integrate with observed Twitter activity. Based on a large sample that reflects Florida’s voting-eligible population, I find that political involvement on Twitter is prevalent across the electorate and extends to those most likely to abstain from voting. Moreover, race and income, which are salient dividing lines in voting, do not structure social media-based political participation. These results challenge reinforcement theory and substantiate social media’s compensatory potential for more inclusive representation. I discuss implications for political representation and future research examining political involvement.

Resonant Moments in Media Events:

Live-tweeting has emerged as a popular hybrid media activity during broadcasted media events. Through second screens, users are able to engage with one another and react in real time to the broadcasted content. These reactions are dynamic: they ebb and flow throughout the media event as users respond to and converse about different memorable moments. Using the first 2016 U.S. presidential debate between Hillary Clinton and Donald Trump as a case, this paper employs a temporal method for identifying resonant moments on social media during televised events by combining time series analysis, qualitative (human-in-the-loop) evaluation, and a novel natural language processing tool to identify discursive shifts before and after resonant moments. This analysis finds key differences in social media discourse about the two candidates. Notably, Trump received substantially more coverage than Clinton throughout the debate. However, a more in-depth analysis of these candidates’ resonant moments reveals that discourse about Trump tended to be more critical compared to discourse associated with Clinton’s resonant moments.

Generous Attitudes and Online Participation

Some of the most popular websites depend on user-generated content produced and aggregated by unpaid volunteers. Contributing in such ways constitutes a type of generous behavior, as it costs time and energy while benefiting others. This study examines the relationship between contributions to a variety of online information resources and an experimental measure of generosity, the dictator game. Results suggest that contributors to any type of online content tend to donate more in the dictator game than those who do not contribute at all. When disaggregating by type of contribution, we find that those who write reviews, upload public videos, write or answer questions, and contribute to encyclopedic collections online are more generous in the dictator game than their non-contributing counterparts. These findings suggest that generous attitudes help to explain variation in contributions to review, question-and-answer, video, and encyclopedic websites.

A trend study in the stratification of social media use among urban youth: Chile 2009-2019

This trend study describes changes and continuities in the stratification of usage of Facebook, Twitter, Instagram, and WhatsApp in Chile between 2009-2019—the decade that witnessed the rise of social media. Using the Youth, Media and Participation Study—a probabilistic survey conducted on an annual basis among 1,000 individuals aged 18 to 29 living in the three largest urban areas in Chile (N = 10,518)—we analyze how frequency of use and type of activities conducted on social media has varied over time along socioeconomic status, gender, and age cohort. Instead of a uniform trend towards less (or greater) inequality, the results show that each platform exhibits a unique dynamic. For instance, whereas SES-based inequality in frequency of use has decreased on Facebook over time, it has remained stable on WhatsApp and increased on Twitter and Instagram. In addition, significant differences in the likelihood of conducting different activities (e.g., chatting, commenting news, sharing links) remained across groups, even on platforms such as Facebook where frequency of use has equalized over time.

Connective Effervescence and Streaming Chat During Political Debates

Recent advancements in online streaming technologies have re-centered the audience as an important part of live broadcasts, including live political events. In fall 2020, each of the U.S. presidential and vice presidential debates were streamed on a number of online platforms that provided an integrated streaming chat where the public could comment in real-time alongside the live debate video. Viewers could simultaneously tune into what the candidates were saying and see what a sample of their peers thought about the candidates. This study examines large samples of comments made in social chat feeds during the livestreamed debates on the ABC News, NBC News, and Fox News Facebook pages to quantify key features associated with the quality of political discussion on these platforms. The results reveal that consistent with the quasi-anonymous, constrained nature of dynamic chat, the comments made are generally short, include a substantial degree of toxicity and insults, and differ significantly in their content across platforms. These findings underscore the importance of further study of online streaming chat as a new source of potential influence on political attitudes and behavior.

Pandemics, Protests, and Publics

As an integral component of public discourse, Twitter is among the main data sources for scholarship in this area. However, there is much that scholars do not know about the basic mechanisms of public discourse on Twitter, including the prevalence of various modes of communication, the types of posts users make, the engagement those posts receive, or how these things vary with user demographics and across different topical events. This paper broadens our understanding of these aspects of public discourse. We focus on the first nine months of 2020, studying that period as a whole and giving particular attention to two monumentally important topics of that time: the Black Lives Matter movement and the COVID-19 pandemic. Leveraging a panel of 1.6 million Twitter accounts matched to U.S. voting records, we examine the demographics, activity, and engagement of 800,000 American adults who collectively posted nearly 300 million tweets during this time span. We find notable variation in user activity and engagement, in terms of modality (e.g., retweets vs. replies), demographic subgroup, and topical context. We further find that while Twitter can best be understood as a collection of interconnected publics, neither topical nor demographic variation perfectly encapsulates the "Twitter public." Rather, Twitter publics are fluid, contextual communities which form around salient topics and are informed by demographic identities. Together, this paper presents a disaggregated, multifaceted description of the demographics, activity, and engagement of American Twitter users in 2020.

COVID-19 and Telework: An International Comparison

This paper uses identical surveys conducted in July 2020 in eight countries – U.S., U.K., Germany, Italy, Sweden, China, South Korea, and Japan – and examines teleworking within and across these eight countries. We seek to answer the following questions: (1) Which demographic and socioeconomic groups are more likely to telework? (2) Is there any association between telework and other work-related experiences such as life satisfaction and perceived productivity at work? Across countries, we observe that teleworking was higher in countries that imposed strict lockdowns, such as China, and lower in countries that had soft lockdowns, such as Japan. Within each country, there are notable differences in teleworking between low- and high-income persons, and between those employed in small versus large firms. We also find that people who used telework before COVID-19 report higher life satisfaction compared to those who started using telework for the first time after the COVID-19 outbreak.