short-paper

Polarized User and Topic Tracking in Twitter

Authors:

Mauro Coletto,

Claudio Lucchese,

Salvatore Orlando,

Raffaele PeregoAuthors Info & Claims

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

Pages 945 - 948

https://doi.org/10.1145/2911451.2914716

Published: 07 July 2016 Publication History

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Abstract

Digital traces of conversations in micro-blogging platforms and OSNs provide information about user opinion with a high degree of resolution. These information sources can be exploited to understand and monitor collective behaviours. In this work, we focus on polarisation classes, i.e., those topics that require the user to side exclusively with one position. The proposed method provides an iterative classification of users and keywords: first, polarised users are identified, then polarised keywords are discovered by monitoring the activities of previously classified users. This method thus allows tracking users and topics over time. We report several experiments conducted on two Twitter datasets during political election time-frames. We measure the user classification accuracy on a golden set of users, and analyse the relevance of the extracted keywords for the ongoing political discussion.

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Cited By

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Voulgari TAngelidis ABratsas CKotsakis RVeglis ASkamnakis A(2024)The Usage of Twitter (Now 𝕏) Amplifiers in the European Elections of 2019Journalism and Media10.3390/journalmedia50300605:3(951-966)Online publication date: 12-Jul-2024
https://doi.org/10.3390/journalmedia5030060
Righi ACatanese EValentino LZardetto D(2023)The Italian Social Mood on Economy Index During the Covid-19 CrisisStudies in Theoretical and Applied Statistics10.1007/978-3-031-16609-9_29(475-485)Online publication date: 15-Feb-2023
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Sîrbu AAndrienko GAndrienko NBoldrini CConti MGiannotti FGuidotti RBertoli SKim JMuntean CPappalardo LPassarella APedreschi DPollacci LPratesi FSharma R(2020)Human migration: the big data perspectiveInternational Journal of Data Science and Analytics10.1007/s41060-020-00213-511:4(341-360)Online publication date: 23-Mar-2020
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Published In

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

July 2016

1296 pages

ISBN:9781450340694

DOI:10.1145/2911451

General Chairs:
Raffaele Perego
ISTI-CNR, Italy
,
Fabrizio Sebastiani
Qatar Computing Research Institute, HBKU, Qatar
,
Program Chairs:
Javed Aslam
Northeastern University, US
,
Ian Ruthven
University of Strathclyde, UK
,
Justin Zobel
University of Melbourne, Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2016

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Funding Sources

EC H2020

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SIGIR '16

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SIGIR

SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval

July 17 - 21, 2016

Pisa, Italy

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SIGIR '16 Paper Acceptance Rate 62 of 341 submissions, 18%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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Voulgari TAngelidis ABratsas CKotsakis RVeglis ASkamnakis A(2024)The Usage of Twitter (Now 𝕏) Amplifiers in the European Elections of 2019Journalism and Media10.3390/journalmedia50300605:3(951-966)Online publication date: 12-Jul-2024
https://doi.org/10.3390/journalmedia5030060
Righi ACatanese EValentino LZardetto D(2023)The Italian Social Mood on Economy Index During the Covid-19 CrisisStudies in Theoretical and Applied Statistics10.1007/978-3-031-16609-9_29(475-485)Online publication date: 15-Feb-2023
https://doi.org/10.1007/978-3-031-16609-9_29
Sîrbu AAndrienko GAndrienko NBoldrini CConti MGiannotti FGuidotti RBertoli SKim JMuntean CPappalardo LPassarella APedreschi DPollacci LPratesi FSharma R(2020)Human migration: the big data perspectiveInternational Journal of Data Science and Analytics10.1007/s41060-020-00213-511:4(341-360)Online publication date: 23-Mar-2020
https://doi.org/10.1007/s41060-020-00213-5
Coletto MLucchese C(2018)Social–Spatiotemporal Analysis of Topical and Polarized Communities in Online Social NetworksEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_110182(2816-2831)Online publication date: 12-Jun-2018
https://doi.org/10.1007/978-1-4939-7131-2_110182
Jang MDori-Hacohen SAllan JKamps JKanoulas Ede Rijke MFang HYilmaz E(2017)Modeling Controversy within PopulationsProceedings of the ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3121050.3121067(141-149)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1145/3121050.3121067
Coletto MLucchese C(2017)Social–Spatiotemporal Analysis of Topical and Polarized Communities in Online Social NetworksEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4614-7163-9_110182-1(1-16)Online publication date: 10-Oct-2017
https://doi.org/10.1007/978-1-4614-7163-9_110182-1
Coletto MEsuli ALucchese CMuntean CNardini FPerego RRenso CSubrahmanian VRokne JKumar RCaverlee JTong H(2016)Sentiment-enhanced multidimensional analysis of online social networksProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192657(1270-1277)Online publication date: 18-Aug-2016
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Coletto MEsuli ALucchese CMuntean CNardini FPerego RRenso C(2016)Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM.2016.7752401(1270-1277)Online publication date: Aug-2016
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