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相关论文: The Production and Consumption of Social Media

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Social networks are a prominent feature of many social media sites, a new generation of Web sites that allow users to create and share content. Sites such as Digg, Flickr, and Del.icio.us allow users to designate others as "friends" or…

计算机与社会 · 计算机科学 2007-10-31 Kristina Lerman

The social brain hypothesis fixes to 150 the number of social relationships we are able to maintain. Similar cognitive constraints emerge in several aspects of our daily life, from our mobility up to the way we communicate, and might even…

社会与信息网络 · 计算机科学 2020-10-06 Matteo Cinelli , Emanuele Brugnoli , Ana Lucia Schmidt , Fabiana Zollo , Walter Quattrociocchi , Antonio Scala

Social media platforms offer users multiple ways to engage with content--likes, retweets, and comments--creating a complex signaling system within the attention economy. While previous research has examined factors driving overall…

社会与信息网络 · 计算机科学 2025-09-11 Yulin Yu , Houming Chen , Daniel Romero , Paramveer S. Dhillon

On social media algorithms for content promotion, accounting for users preferences, might limit the exposure to unsolicited contents. In this work, we study how the same contents (videos) are consumed on different platforms -- i.e. Facebook…

We introduce and discuss kinetic models of opinion formation on social networks in which the distribution function depends on both the opinion and the connectivity of the agents. The opinion formation model is subsequently coupled with a…

物理与社会 · 物理学 2018-08-22 G. Toscani , A. Tosin , M. Zanella

Social media sites are information marketplaces, where users produce and consume a wide variety of information and ideas. In these sites, users typically choose their information sources, which in turn determine what specific information…

社会与信息网络 · 计算机科学 2016-03-16 Mahmoudreza Babaei , Przemyslaw A. Grabowicz , Isabel Valera , Krishna P. Gummadi , Manuel Gomez-Rodriguez

The behaviour of sharing information on social media should be fulfilled only when a user is exhibiting attentive behaviour. So that the useful information can be consumed constructively, and misinformation can be identified and ignored.…

社会与信息网络 · 计算机科学 2020-12-29 Zaid Amin , Nazlena Mohamad Ali , Alan F. Smeaton

Probabilistic models can learn users' preferences from the history of their item adoptions on a social media site, and in turn, recommend new items to users based on learned preferences. However, current models ignore psychological factors…

信息检索 · 计算机科学 2013-11-07 Jeon-Hyung Kang , Kristina Lerman

Communities are an important feature of social networks. In fact, it seems that communities are necessary for a social network to be efficient. However, there exist very few formal studies of the actual role of communities in social…

社会与信息网络 · 计算机科学 2019-02-01 Peter Marbach

Online platforms have a wealth of data, run countless experiments and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is…

社会与信息网络 · 计算机科学 2023-10-24 Jon Kleinberg , Sendhil Mullainathan , Manish Raghavan

Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items will become popular is critically important for both…

计算机与社会 · 计算机科学 2010-04-30 Kristina Lerman , Tad Hogg

We study learning on social media with an equilibrium model of users interacting with shared news stories. Rational users arrive sequentially, observe an original story (i.e., a private signal) and a sample of predecessors' stories in a…

理论经济学 · 经济学 2026-03-10 Krishna Dasaratha , Kevin He

Twitter, a microblogging service, is todays most popular platform for communication in the form of short text messages, called Tweets. Users use Twitter to publish their content either for expressing concerns on information news or views on…

社会与信息网络 · 计算机科学 2017-11-29 Dhanasekar Sundararaman , Priya Arora , Vishwanath Seshagiri

The relationship between content production and consumption on algorithm-driven platforms like YouTube plays a critical role in shaping ideological behaviors. While prior work has largely focused on user behavior and algorithmic…

计算与语言 · 计算机科学 2026-03-10 Sarmad Chandio , Rishab Nithyanand

In this study, we propose a novel graph-based approach to model, analyze and comprehend user interactions within a social media platform based on post-comment relationship. We construct a user interaction graph from social media data and…

社会与信息网络 · 计算机科学 2024-12-02 Md Kaykobad Reza , S M Maksudul Alam , Yiran Luo , Youzhe Liu , Md Siam

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

The boom in social media with regard to producing and consuming information simultaneously implies the crucial role of online user influence in determining content popularity. In particular, understanding behavior variations between the…

社会与信息网络 · 计算机科学 2020-04-14 Bowen Shi , Ke Xu , Jichang Zhao

User-generated content plays a key role in social networking, allowing a more active participation, socialisation, and collaboration among users. In particular, media content has been gaining a lot of ground, allowing users to express…

"Media events" such as political debates generate conditions of shared attention as many users simultaneously tune in with the dual screens of broadcast and social media to view and participate. Are collective patterns of user behavior…

社会与信息网络 · 计算机科学 2015-06-16 Yu-Ru Lin , Brian Keegan , Drew Margolin , David Lazer

User participation in online communities is driven by the intertwinement of the social network structure with the crowd-generated content that flows along its links. These aspects are rarely explored jointly and at scale. By looking at how…

社会与信息网络 · 计算机科学 2017-11-03 Luca M. Aiello , Rossano Schifanella , Miriam Redi , Stacey Svetlichnaya , Frank Liu , Simon Osindero