The formation of an agonistic public sphere: Emotions, the Internet and news media in China

This article discusses the importance of emotions to China’s public life and the way in which the Internet and news media channels have publicized emotional outbursts by the public in China in recent years. An agonistic public sphere is being formed, the basis of which is the expression of emotions, especially hatred, resentment, anger and compassion, both on the Internet and in the news media. As a result, conflicting interests are contested and paradoxes in society are exposed. This development is close to what radical democracy theories conceptualize as an agonistic public sphere. This emotional dimension in public life is a crucial means for China’s subordinated citizens to strive to utilize resources to change the current hierarchy in society. The formation of an agonistic public sphere democratizes communication processes, opens a space for public participation and gives voice to the public who are otherwise silent. The expression of emotions has the potential to break down the Chinese Communist Party’s hegemony

Networked Framing Between Source Posts and Their Reposts: An Analysis of Public Opinion On China's Microblogs

Retweeting a post on a social media platform is a part of a process of growing significance through which public opinion formation takes place. A ‘retweet count’ on, say Twitter or weibo, can be taken as a measure of user influence. The assumption is that when B retweets A’s message, B empathizes with A and wishes to disseminate the message more widely. But this assumption has hardly been tested and preliminary evidence suggests practices for retweeting on Twitter vary. Nor can retweeting practices on Twitter be assumed to apply on weibo. This paper makes the first effort to understand the practice of reposting on China’s weibo, focusing on the content of reposts in comparison to that of the original messages. A quantitative comparison is made of the frame [Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58; Gamson, W. A., & Modigliani, A. (1989). Media discourse and public opinion on nuclear power: A constructionist approach. American Journal of Sociology, 95, 1–37] of the source post of 21 cases, and their reposts. The posts and reposts all refer to the issue of officials being exposed for corruption on Sina Weibo. The study finds sound evidence of networked framing, in which reposters revised frames of the source posters while disseminating them. Although over half of the reposts merely republished the source post without added content, what emerged were new communicative functions, case definitions, and a diagnosis of the consequences of exposing the cases. However, different types of user accounts drew different reposting frames, which points to a consistent paradigm between the source accounts and the reposters. The results are important for understanding the mechanisms behind the formation of public opinion on weibo.Joyce Y. M. Nip’s research was supported by the Faculty Research Support Scheme of the Faculty of Arts and Social Sciences, the University of Sydney. King-wa Fu’s study was supported by the General Research Fund, Research Grants Council, Hong Kong (HKU 17402314H)

The limits of commercialized censorship in China

Despite massive investment in China’s censorship program, internet platforms in China are rife with criticisms of the government and content that seeks to organize opposition to the ruling Communist Party. Past works have attributed this “openness” to deliberate government strategy or lack of capacity. Most, however, do not consider the role of private social media companies, to whom the state delegates information controls. I suggest that the apparent incompleteness of censorship is largely a result of principal-agent problems that arise due to misaligned incentives of government principals and private media company agents. Using a custom dataset of annotated leaked documents from a social media company, Sina Weibo, I find that 16% of directives from the government are disobeyed by Sina Weibo and that disobedience is driven by Sina’s concerns about censoring more strictly than competitor Tencent. I also find that the fragmentation inherent in the Chinese political system exacerbates this principal agent problem. I demonstrate this by retrieving actual censored content from large databases of hundreds of millions of Sina Weibo posts and measuring the performance of Sina Weibo’s censorship employees across a range of events. This paper contributes to our understanding of media control in China by uncovering how market competition can lead media companies to push back against state directives and increase space for counter-hegemonic discourse

What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

© 2019, Springer Nature B.V. In the last few years, Twitter has become a popular platform for sharing opinions, experiences, news, and views in real-time. Twitter presents an interesting opportunity for detecting events happening around the world. The content (tweets) published on Twitter are short and pose diverse challenges for detecting and interpreting event-related information. This article provides insights into ongoing research and helps in understanding recent research trends and techniques used for event detection using Twitter data. We classify techniques and methodologies according to event types, orientation of content, event detection tasks, their evaluation, and common practices. We highlight the limitations of existing techniques and accordingly propose solutions to address the shortcomings. We propose a framework called EDoT based on the research trends, common practices, and techniques used for detecting events on Twitter. EDoT can serve as a guideline for developing event detection methods, especially for researchers who are new in this area. We also describe and compare data collection techniques, the effectiveness and shortcomings of various Twitter and non-Twitter-based features, and discuss various evaluation measures and benchmarking methodologies. Finally, we discuss the trends, limitations, and future directions for detecting events on Twitter