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Lifespan and propagation of information in On-line Social Networks a Case Study [article]

Giannis Haralabopoulos, Ioannis Anagnostopoulos
2014 arXiv   pre-print
Since 1950, information flows have been in the centre of scientific research. Up until internet penetration in the late 90s, these studies were based over traditional offline social networks.  ...  In this paper, we examine such flows in several social networks, as well as their diffusion and lifespan across multiple OSNs, in terms of user-generated content.  ...  Even before the rise of Online Social Networks (OSNs), social ties and information flows have been studied in traditional real-life social networks.  ... 
arXiv:1403.1486v1 fatcat:zrky6nxba5cs7kwlcp5upgwmze

Modeling Influence with Semantics in Social Networks: a Survey [article]

Gerasimos Razis, Ioannis Anagnostopoulos, Sherali Zeadally
2018 arXiv   pre-print
In this work, we present a systematic review across i) online social influence metrics, properties, and applications and ii) the role of semantic in modeling OSNs information.  ...  The discovery of influential entities in all kinds of networks (e.g. social, digital, or computer) has always been an important field of study.  ...  Finally, the authors in [110] studied the lifespan and information flows of another social network (Reddit) based on user-generated content.  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e

Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature

Joshua Tucker, Andrew Guess, Pablo Barbera, Cristian Vaccari, Alexandra Siegel, Sergey Sanovich, Denis Stukal, Brendan Nyhan
2018 Social Science Research Network  
on social media sites are frequently negative and uncivil, which contributes to the rise in affective polarization.  ...  exposure, which has a range of positive effects on civic engagement, political moderation, and the quality of democratic politics, but also facilitates the spread of misinformation. (3) Political exchanges  ...  Content and Framing of Political (Mis)information Empirical studies of exposure to political information on social media reveal an interesting paradox: Most users are embedded in diverse social networks  ... 
doi:10.2139/ssrn.3144139 fatcat:yfs63h3lhnbl7cziilsvknqucy

Characterizing behavioral trends in a community driven discussion platform [article]

Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey
2019 arXiv   pre-print
A platform like Reddit which has grown exponentially, starting from a very small community to one of the largest social networks, with its large user base and popularity harboring a variety of behavior  ...  information and viewpoints on their topics of interest.  ...  Conclusions and outlook A large, community-driven social network and discussion platform like Reddit harbors a plethora of behaviors for the users concerned.  ... 
arXiv:1911.02771v1 fatcat:nmz6vj6lgrdnnivaujp63zpwti

Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities [article]

Savvas Zannettou
2019 arXiv   pre-print
In this thesis, we study the information ecosystem on the Web by presenting a typology that includes the various types of false information, the involved actors and their possible motives.  ...  Finally, when studying state-sponsored actors, we find that they were particularly influential in spreading news on popular communities like Twitter and Reddit.  ...  In this line of work, we studied the spread of news and image-based memes across four Web communities, namely, Twitter, Reddit, 4chan's /pol/ and Gab.  ... 
arXiv:1911.10517v1 fatcat:piuwv7zv7zghlof5tqhuhnukla

Cold-start news recommendation with domain-dependent browse graph

Michele Trevisiol, Luca Maria Aiello, Rossano Schifanella, Alejandro Jaimes
2014 Proceedings of the 8th ACM Conference on Recommender systems - RecSys '14  
Specifically in the case of news, users are very much exposed to news articles while performing other activities, such as social networking or web searching.  ...  Online social networks and mash-up services create opportunities to connect different web services otherwise isolated.  ...  Acknowledgments This work was partially funded by Grant TIN2012-38741 (Understanding Social Media: An Integrated Data Mining Approach) of the Ministry of Economy and Competitiveness of Spain and by the  ... 
doi:10.1145/2645710.2645726 dblp:conf/recsys/TrevisiolASJ14 fatcat:cdfixxhnpbddvaumx6ypypzyue

Social Data Analysis [chapter]

2014 Encyclopedia of Social Network Analysis and Mining  
A large number of descriptive studies into information diffusion have added to our current knowledge about how messages propagate through on-line social networks.  ...  This diffusion of information in an on-line platform is well studied.  ... 
doi:10.1007/978-1-4614-6170-8_100832 fatcat:hkaondyw5jb73dnq45p6mwzkpe

Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities [article]

Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini
2021 arXiv   pre-print
Then, we study how conspiracies are discussed on different Web communities and which ones are particularly influential in driving the discussion about them.  ...  We use 189 conspiracy claims collected by Snopes, and find 66k posts and 277k comments on Reddit, and 379k tweets discussing them.  ...  Centre on Privacy, Harm Reduction, and Adversarial Influence Online (REPHRAIN, UKRI grant: EP/V011189/1).  ... 
arXiv:2111.02187v1 fatcat:w5y3vch5erfv5jatcmvc7xm67u

Political Bias and Factualness in News Sharing across more than 100,000 Online Communities [article]

Galen Weld, Maria Glenski, Tim Althoff
2021 arXiv   pre-print
Here, we conduct the largest study of news sharing on reddit to date, analyzing more than 550 million links spanning 4 years.  ...  We find that, compared to left-leaning communities, right-leaning communities have 105% more variance in the political bias of their news sources, and more links to relatively-more biased sources, on average  ...  , and a Microsoft AI for Accessibility grant.  ... 
arXiv:2102.08537v3 fatcat:56am6ydskremjh2xnopk7tlhsu

The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities [article]

Marco Del Tredici, Raquel Fernández
2018 arXiv   pre-print
We investigate the birth and diffusion of lexical innovations in a large dataset of online social communities.  ...  We build on sociolinguistic theories and focus on the relation between the spread of a novel term and the social role of the individuals who use it, uncovering characteristics of innovators and adopters  ...  We thank the anonymous reviewers for their comments as well as the area chairs and PC chairs of COLING 2018.  ... 
arXiv:1806.05838v1 fatcat:tzcwopivtva5jjj7usjbsmwfuu

Fine-grained Emotion Role Detection Based on Retweet Information

Zhiwen Yu, Fei Yi, Chao Ma, Zhu Wang, Bin Guo, Liming Chen
2018 ACM Transactions on Internet Technology  
User behaviors in online social networks convey not only literal information but also one's emotion attitudes towards the information.  ...  We then propose a Multi-dimensional Emotion Role Mining model, named as MERM, to determine a user's emotion role in online social networks.  ...  There are also a few studies that focus on emotion propagation. [34] proposed a trust-based multi-ego social network to investigate and understand dynamic emotion diffusion.  ... 
doi:10.1145/3191820 fatcat:a37z2326xfaeralyqly6hgwcpy

Characterizing Online Rumoring Behavior Using Multi-Dimensional Signatures

Jim Maddock, Kate Starbird, Haneen J. Al-Hassani, Daniel E. Sandoval, Mania Orand, Robert M. Mason
2015 Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing - CSCW '15  
This study offers an in-depth analysis of four rumors that spread through Twitter after the 2013 Boston Marathon Bombings.  ...  In constructing these signatures, this research demonstrates and documents an emerging method for deeply and recursively integrating qualitative and quantitative methods for analysis of social media trace  ...  ACKNOWLEDGMENTS This research is a collaboration between the emCOMP Lab and SoMe Lab at UW and was partially supported by NSF Grants 1342252 and 1243170.  ... 
doi:10.1145/2675133.2675280 dblp:conf/cscw/MaddockSASOM15 fatcat:sfqopw64zbdelhw4yzr3otv3x4

Demystifying Social Bots: On the Intelligence of Automated Social Media Actors

Dennis Assenmacher, Lena Clever, Lena Frischlich, Thorsten Quandt, Heike Trautmann, Christian Grimme
2020 Social Media + Society  
literature reports on a high degree of intelligence for chat bots and assumes the same for social bots, the observed degree of intelligence in social bot implementations is limited.  ...  on the availability and capabilities of automated profiles in social media platforms.  ...  Related Work The investigation of intelligence in social bots demands some words on the notion of intelligence, the general understanding of bots, and a summary of important related work based on a structured  ... 
doi:10.1177/2056305120939264 fatcat:c45ejlaxozdalau55esyalrede

Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities [article]

Shruti Phadke, Mattia Samory, Tanushree Mitra
2021 arXiv   pre-print
Online discussion platforms offer a forum to strengthen and propagate belief in misinformed conspiracy theories.  ...  To understand what dissonance and disbelief mean within conspiracy communities, we first characterize their social imaginaries, a broad understanding of how people collectively imagine their social existence  ...  In this light QAnon makes for an ideal case to study dissonance in conspiracies where we can analyze both, social imaginaries created by Q and the self-disclosure of dissonance by Q followers on the fracture  ... 
arXiv:2107.10204v1 fatcat:y3bonwpzizfkdika5jgogtvquq

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science [article]

Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
2021 arXiv   pre-print
The study of CSS is data-driven and significantly benefits from the availability of online user-generated contents and social networks, which contain rich text and network data for investigation.  ...  To explore the answer, we give a thorough review of data representations in CSS for both text and network.  ...  A.2 Network A.2.1 Symbol-based representation In the domain of Sociology, most studies were conducted on the social network.  ... 
arXiv:2106.14198v1 fatcat:dvy5awnfuvbnnkzusjl5wbhfki
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