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This study investigates the role of the Internet in civic participation inequality across 108 countries. Merging individual-level survey data from the 2016 Gallup World Poll with country-level indices, we conduct multilevel analyses to answer three broader sets of questions: (1) Does access to the Internet increase the likelihood of civic participation? (2) Does Internet access amplify or lessen socioeconomic stratification in civic participation? (3) Do press freedom and government intervention as contextual factors shape the role of the Internet in civic participation inequality? The findings suggest that Internet access increases the likelihood of civic participation while it also deepens socioeconomic stratification in participation. Cross-level interactions unveil that the intervening role of the Internet remains unaffected by press freedom, but government intervention through the promotion of ICT use can help control the growing inequality. We discuss the theoretical implications of these findings for political inequality research and the applied global significance.

This study attempts to understand how geopolitical proximity influences framing of social conflicts in news coverage and social media discussions. Within the context of 2013 Little India riot in Singapore, a manual content and automated linguistic analyses are conducted on 227 news articles and 4,495 tweets. A multinational comparison suggests that news media follow the traditional hypothesis of geopolitical proximity and international news coverage. However, Twitter seems less constrained by geopolitical boundaries of news making allowing citizens to bypass press censorship in an alternate information system. The reasons for framing differences across mediums and between countries are explored. Implications of these findings and limitations of the study are discussed.

This study introduces and evaluates the robustness of different volumetric, sentiment, and social network approaches to predict the elections in three Asian countries–Malaysia, India, and Pakistan from Twitter posts. We find that predictive power of social media performs well for India and Pakistan but is not effective for Malaysia. Overall, we find that it is useful to consider the recency of Twitter posts while using it to predict a real outcome, such as an election result. Sentiment information mined using machine learning models was the most accurate predictor of election outcomes. Social network information is stable despite sudden surges in political discussions, for e.g. around elections-related news events. Methods combining sentiment and volume information, or sentiment and social network information, are effective at predicting smaller vote shares, for e.g. vote shares in the case of independent candidates and regional parties. We conclude with a detailed discussion on the caveats of social media analysis for predicting real-world outcomes and recommendations for future work.

This study analyzes the political use of Twitter in the run-up to the 2013 Malaysian General Election. It follows a content and social network analysis approach to investigate the interplay of language and political partisanship in social media use, among Twitter users in Malaysia. In the period leading up to the 2013 elections, Twitter posts collected under the hashtag #GE13 reveal that communities that post in English versus the Malay language, differ in how they use Twitter and with whom they interact. As compared to English users, Malay users are more likely to seek political information and express their political opinion. In online discussions, we observe language-based homophily within the English and Malay language communities, but there are some cross-cutting interactions between opposing political communities. We discuss the implications of our findings for the political use of new communication technologies in multi-ethnic and multilingual societies.

In this study, it is theorized that the communicative affordances offered by social media platforms will enable politically under-resourced candidates to contest the marginalization they face in traditional media. Multivariate analyses were conducted of the tweets of 205 political candidates of the 2014 Indian general election. Findings reveal that fringe party candidates received the least media attention and tended to use Twitter more frequently than major party candidates, especially for interaction and mobilization. Minor party candidates also received less media attention, albeit their Twitter usage patterns were not significantly different than major party candidates. The results illustrate that social media platforms can help overcome resource inequality in politics. The larger implications of this study are discussed.