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相关论文: Breaking Political Filter Bubbles via Social Compa…

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Online social networks create echo-chambers where people are infrequently exposed to opposing opinions. Even if such exposure occurs, the persuasive effect may be minimal or nonexistent. Recent studies have shown that exposure to opposing…

社会与信息网络 · 计算机科学 2020-08-04 Qi Yang , Khizar Qureshi , Tauhid Zaman

The emergence of online social networks has greatly facilitated the diffusion of information and behaviors. While the two diffusion processes are often intertwined, "talking the talk" does not necessarily mean "walking the talk"--those who…

社会与信息网络 · 计算机科学 2018-01-24 Kang Zhao , Shiyao Wang , Ion B. Vasi , Qi Zhang

The spread of information networks has not only made it easier for people to access a variety of information sources but also greatly enhanced the ability of individuals to disseminate information. Unfortunately, however, the problem of…

社会与信息网络 · 计算机科学 2020-11-12 Masaki Aida , Ayako Hashizume , Chisa Takano , Masayuki Murata

Nowadays, internet has changed the world into a global village. Social Media has reduced the gaps among the individuals. Previously communication was a time consuming and expensive task between the people. Social Media has earned fame…

社会与信息网络 · 计算机科学 2016-10-20 Saqib Iqbal , Ali Zulqurnain , Yaqoob Wani , Khalid Hussain

Individuals of modern societies share ideas and participate in collective processes within a pervasive, variable, and mostly hidden ecosystem of content filtering technologies that determine what information we see online. Despite the…

物理与社会 · 物理学 2022-10-28 Antonio F. Peralta , Matteo Neri , János Kertész , Gerardo Iñiguez

Information spread in social media depends on a number of factors, including how the site displays information, how users navigate it to find items of interest, users' tastes, and the `virality' of information, i.e., its propensity to be…

社会与信息网络 · 计算机科学 2015-02-03 Jeon-Hyung Kang , Kristina Lermam

Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarially interact with political figures on Twitter using…

人机交互 · 计算机科学 2020-05-12 Yiqing Hua , Mor Naaman , Thomas Ristenpart

Newsfeed algorithms frequently amplify misinformation and other low-quality content. How can social media platforms more effectively promote reliable information? Existing approaches are difficult to scale and vulnerable to manipulation. In…

社会与信息网络 · 计算机科学 2026-03-03 Saumya Bhadani , Shun Yamaya , Alessandro Flammini , Filippo Menczer , Giovanni Luca Ciampaglia , Brendan Nyhan

Recent studies, targeting Facebook, showed the tendency of users to interact with information adhering to their preferred narrative and to ignore dissenting information. Primarily driven by confirmation bias, users tend to join polarized…

社会与信息网络 · 计算机科学 2020-08-24 Emanuele Brugnoli , Matteo Cinelli , Fabiana Zollo , Walter Quattrociocchi , Antonio Scala

Estimating the political leanings of social media users is a challenging and ever more pressing problem given the increase in social media consumption. We introduce Retweet-BERT, a simple and scalable model to estimate the political…

社会与信息网络 · 计算机科学 2023-04-10 Julie Jiang , Xiang Ren , Emilio Ferrara

Every day media generate large amounts of text. An unbiased view on media reports requires an understanding of the political bias of media content. Assistive technology for estimating the political bias of texts can be helpful in this…

社会与信息网络 · 计算机科学 2016-08-09 Felix Biessmann

This paper presents a user modeling pipeline to analyze discussions and opinions shared on social media regarding polarized political events (e.g., public polls). The pipeline follows a four-step methodology. First, social media posts and…

社会与信息网络 · 计算机科学 2018-07-26 Roberto Napoli , Ali Mert Ertugrul , Alessandro Bozzon , Marco Brambilla

The emergence of social media has largely eased the way people receive information and participate in public discussions. However, in countries with strict regulations on discussions in the public space, social media is no exception. To…

社会与信息网络 · 计算机科学 2022-07-26 Yichi Qian , Qiyi Shan , Hanjia Lyu , Jiebo Luo

Social media filters combined with recommender systems can lead to the emergence of filter bubbles and polarized groups. In addition, segregation processes of human groups in certain social contexts have been shown to share some…

We often treat social media as a lens onto society. How might that lens distort the popularity of political and social viewpoints? We examine discrepancies between publicly posted and privately surveyed opinions within communities,…

社会与信息网络 · 计算机科学 2026-03-18 Dora Zhao , Diyi Yang , Michael S. Bernstein

The democratization of AI tools for content generation, combined with unrestricted access to mass media for all (e.g. through microblogging and social media), makes it increasingly hard for people to distinguish fact from fiction. This…

社会与信息网络 · 计算机科学 2019-03-28 Xi Chen , Panayiotis Tsaparas , Jefrey Lijffijt , Tijl De Bie

With the rise in popularity of public social media and micro-blogging services, most notably Twitter, the people have found a venue to hear and be heard by their peers without an intermediary. As a consequence, and aided by the public…

计算与语言 · 计算机科学 2016-06-21 Prashanth Vijayaraghavan , Soroush Vosoughi , Deb Roy

This paper is concerned with how to make efficient use of social information to improve recommendations. Most existing social recommender systems assume people share similar preferences with their social friends. Which, however, may not…

信息检索 · 计算机科学 2017-12-01 Menghan Wang , Xiaolin Zheng , Yang Yang , Kun Zhang

Social media has played an important role in shaping political discourse over the last decade. At the same time, it is often perceived to have increased political polarization, thanks to the scale of discussions and their public nature. In…

社会与信息网络 · 计算机科学 2017-03-20 Kiran Garimella , Ingmar Weber

Participation on social media platforms has many benefits but also poses substantial threats. Users often face an unintended loss of privacy, are bombarded with mis-/disinformation, or are trapped in filter bubbles due to over-personalized…

社会与信息网络 · 计算机科学 2020-09-17 Christian von der Weth , Ashraf Abdul , Shaojing Fan , Mohan Kankanhalli