Filters








43,028 Hits in 8.6 sec

Predicting Political Orientation of News Articles Based on User Behavior Analysis in Social Network

Jun-Gil KIM, Kyung-Soon LEE
2014 IEICE transactions on information and systems  
Then political orientation of a news article is predicted based on the bias ratio of users, mutual retweeting and opinion analysis of tweet documents.  ...  To mitigate this media bias, we propose a novel framework for predicting orientation of a news article by analyzing social user behaviors in Twitter.  ...  Acknowledgements This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A2044811  ... 
doi:10.1587/transinf.e97.d.685 fatcat:xlk4p3lrbrdmxbq6j6uhgykp4y

Understanding social media users via attributes and links

Mohammad Ali Abbasi
2015 ACM SIGWEB Newsletter  
With the rise of social media, hundreds of millions of people spend countless hours all over the globe on social media to connect, interact, share, and create user-generated data.  ...  There are two pieces of information that attract most attention on social media sites, including user preferences and interactions.  ...  social dimensions by Algorithm 1 2: Represent users by local social dimensions 3: Train a classifier based on the new representation of users based on local social dimensions Complexity Analysis Due to  ... 
doi:10.1145/2808000.2808003 fatcat:m5ptbhsw4zhx5bhn2zowlnivxy

Behavior analysis in social networks: Challenges, technologies, and trends

Meng Wang, Ee-Peng Lim, Lei Li, Mehmet Orgun
2016 Neurocomputing  
Their professional evaluations and constructive comments are vital for securing the high quality of the special issue.  ...  These papers cover widely topics related to behavior analysis in social network, including social network structure analysis, social topic analysis and behavior understanding, social user analysis, social  ...  In the third part of the special issue, we have 6 papers on social user analysis.  ... 
doi:10.1016/j.neucom.2016.06.008 fatcat:x5mumxc3orduxewwvwsdxdar54

A Survey on Computational Politics

Ehsan ul Haq, Tristan Braud, Young D. Kwon, Pan Hui
2020 IEEE Access  
INDEX TERMS Computational politics, computers and information processing, social computing, social network analysis, user modelling, discourse analysis, digital humanities.  ...  platforms. e.g., online social networks, online forums, and political debates.  ...  Studying the behavior of Facebook users regarding political news sharing and consumption [96] shows that partisan selectiveness exists for social network users.  ... 
doi:10.1109/access.2020.3034983 fatcat:2bmalhdbwnfblbawqs2vylyeqm

TOWARDS A HYBRID MODEL OF AN AUTOMATED DECEPTION DETECTION FOR FAKE NEWS: INTELLIGENT FILTERING BASED ON NETWORK PROPERTIES AND BEHAVIOR

Zaitul Iradah Mahid, Selvakumar Manickam, Shankar Karuppayah
2019 Zenodo  
The purpose of a fake news detection is to utilize technologies that will provide the users with the tools and functions to identify and verify information of news in the network that is intentionally  ...  This paper proposes an automated hybrid deception detection mechanism highlighting on knowledge-based approach from content-based method that focuses on the knowledge network properties and behaviour for  ...  On the other hand, the social context-based detection techniques [5] highlight on users' social engagement analysis, involving the utilization of relevant social context of the news consumption on social  ... 
doi:10.5281/zenodo.3474284 fatcat:ty46i5uqwvgthl55tdmm2gaq64

A Survey on Computational Politics [article]

Ehsan ul Haq, Tristan Braud, Young D. Kwon, Pan Hui
2020 arXiv   pre-print
platforms. e.g., online social networks, online forums, and political debates.  ...  Computational Politics is the study of computational methods to analyze and moderate users' behaviors related to political activities such as election campaign persuasion, political affiliation, and opinion  ...  [84] use the Global Dataset of Events, Language, and Tone (GDELT) dataset that is based on the news article for events across the world to predict local political crisis.  ... 
arXiv:1908.06069v2 fatcat:pddftf5k25errpzrpgavkbs32m

Neural Learning Technique Inculcation for Commended Social Network Rating (CSNR) System

K.T.Senthil Kumar, R. Ponnusamy
2017 Application and Theory of Computer Technology  
Broadcasting the online social networks, the main aim over proposed suggestions of social websites became desperate for victory of online applications signifying role in accessing user preference.  ...  The character prediction and analysis of trustee helps in finding their recommendation to be taken in apt way or they might be categorized into always positive or negative segregation.  ...  Model based approach is fast in prediction and prefers substantial time for immense learning. In model orientation most methods are based on matrix factorization.  ... 
doi:10.22496/atct20170103123 fatcat:ipoorpcopndtdm6jy5tko3mvde

Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data

Elanor Colleoni, Alessandro Rozza, Adam Arvidsson
2014 Journal of Communication  
Using a combination of machine learning and social network analysis we classify users as Democrats or as Republicans based on the political content shared.  ...  We suggest that research on political homophily on the Internet should take the political culture and practices of users seriously.  ...  In this paper, we set out to perform such a systematic analysis by comparing levels of political homophily among U.S. Republicans and Democrats based on the entire network of 2009 Twitter users.  ... 
doi:10.1111/jcom.12084 fatcat:b62qf6jdffbc7phbcfxhhbijzq

Automatically Infer Human Traits and Behavior from Social Media Data [article]

Shimei Pan, Tao Ding
2018 arXiv   pre-print
Given the complexity of human minds and their behavioral flexibility, it requires sophisticated data analysis to sift through a large amount of human behavioral evidence to model human minds and to predict  ...  In this paper, we survey the recent work on applying machine learning to infer human traits and behavior from social media data. We will also point out several future research directions.  ...  follows behaviors of social media users continuously over a long period of time (e.g., years); (4) objective: the analysis is based on the natural behavioral data automatically, continuously and objectively  ... 
arXiv:1804.04191v1 fatcat:y6j4haj6cfh2dbjpvmj6hxazc4

Emergent use of Social Media on Elections: the use of Data Mining and Social Network Analysis for Political Purposes

Acharoui Zakia, Ettaki Badia, Zerouaoui Jamal
2021 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This paper is written for researchers seeking to have an overview of the different technical methods used for political purposes principally Data Mining and Social Network Analysis.  ...  Hence, the first part introduces the impact of Social Media on politics for different aims such as communicating with voters, promoting participation, and predicting election results, then the two main  ...  In the next part, the use of Social Network Analysis on politics will be discussed. B.  ... 
doi:10.35940/ijitee.f8832.0410621 fatcat:tf4kwg5xpfftdlz75y5sjdt3ee

The Homophily Principle in Social Network Analysis [article]

Kazi Zainab Khanam, Gautam Srivastava, Vijay Mago
2020 arXiv   pre-print
In recent years, social media has become a ubiquitous and integral part of social networking.  ...  One of the major attentions made by social researchers is the tendency of like-minded people to interact with one another in social groups, a concept which is known as Homophily.  ...  ACKNOWLEDGMENTS We would like to thank the reviewers for their helpful comments on our work. This work is supported by Natural Sciences and Engineering Research Council of Canada (NSERC).  ... 
arXiv:2008.10383v1 fatcat:3bdyhujsyjfmbjd7galcgccx3y

Private traits and attributes are predictable from digital records of human behavior

M. Kosinski, D. Stillwell, T. Graepel
2013 Proceedings of the National Academy of Sciences of the United States of America  
The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests.  ...  We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation  ...  Demonstration of personality prediction based on individuals' Likes is available at http://www.youarewhatyoulike.com. M.K. received funding from Boeing Corporation and from Microsoft Research.  ... 
doi:10.1073/pnas.1218772110 pmid:23479631 pmcid:PMC3625324 fatcat:yn4d2zqhxzbypciu776inhg2aq

Analyzing Political Polarization on Social Media by Deleting Bot Spamming

Riccardo Cantini, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
2022 Big Data and Cognitive Computing  
This methodology is temporally aware and relies on a keyword-based classification of posts and users.  ...  Recent studies have shown the use on social media of automatic entities, defined as social bots, that appear as legitimate users by imitating human behavior aimed at influencing discussions of any kind  ...  [28] presented an incremental learning method based on multiple naïve bayes independent models for predicting the political orientation of users over time.  ... 
doi:10.3390/bdcc6010003 fatcat:6msdjpfiefg2fhcpej6bir5g2u

Valence-based homophily on Twitter: Network Analysis of Emotions and Political Talk in the 2012 Presidential Election

Itai Himelboim, Kaye D Sweetser, Spencer F Tinkham, Kristen Cameron, Matthew Danelo, Kate West
2014 New Media & Society  
Using network analysis, we discovered clusters-subgroups of highly self-connected users-and coded messages in each cluster for their expressed positive-to-negative emotional valence,  ...  This study integrates network and content analyses to examine valence-based homophily on Twitter or the tendency for individuals to interact with those expressing similar valence.  ...  Funding This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.  ... 
doi:10.1177/1461444814555096 fatcat:cknyvrhifjalzo7thgmedk6bma

"You're still worth it": The moral and relational context of politically motivated unfriending decisions in online networks

German Neubaum, Manuel Cargnino, Stephan Winter, Shira Dvir-Gvirsman, Shang E. Ha
2021 PLoS ONE  
Political disagreements in social media can result in removing (i.e., "unfriending") a person from one's online network.  ...  Drawing on this, our findings inform research on the homogenization of online networks by indicating that selective avoidance (in the form of politically motivated unfriending) is conditional upon the  ...  This additionally suggests that the predictive value of the political identity or orientation on decisions of network filtrations depends on the current political landscape and state of polarization in  ... 
doi:10.1371/journal.pone.0243049 pmid:33428628 fatcat:frgv56rpqzckfnm55znkjioha4
« Previous Showing results 1 — 15 out of 43,028 results