research-article

Identifying relevant social media content: leveraging information diversity and user cognition

Authors:

Munmun De Choudhury,

Mary CzerwinskiAuthors Info & Claims

HT '11: Proceedings of the 22nd ACM conference on Hypertext and hypermedia

Pages 161 - 170

https://doi.org/10.1145/1995966.1995990

Published: 06 June 2011 Publication History

Abstract

As users turn to large scale social media systems like Twitter for topic-based content exploration, they quickly face the issue that there may be hundreds of thousands of items matching any given topic they might query. Given the scale of the potential result sets, how does one identify the 'best' or 'right' set of items? We explore a solution that aligns characteristics of the information space, including specific content attributes and the information diversity of the results set, with measurements of human information processing, including engagement and recognition memory. Using Twitter as a test bed, we propose a greedy iterative clustering technique for selecting a set of items on a given topic that matches a specified level of diversity.

In a user study, we show that our proposed method yields sets of items that were, on balance, more engaging, better remembered, and rated as more interesting and informative compared to baseline techniques. Additionally, diversity indeed seemed to be important to participants in the study in the consumption of content. However as a rather surprising result, we also observe that content was perceived to be more relevant when it was highly homogeneous or highly heterogeneous. In this light, implications for the selection and evaluation of topic-centric item sets in social media contexts are discussed.

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Cited By

Sonoda AToriumi FNakajima H(2024)User Experiments on the Effect of the Diversity of Consumption on News ServicesIEEE Access10.1109/ACCESS.2024.336777012(31841-31852)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3367770
Fan YPan JSheng J(2023)Strategies of Chinese State Media on TwitterPolitical Communication10.1080/10584609.2023.223391141:1(4-25)Online publication date: 11-Jul-2023
https://doi.org/10.1080/10584609.2023.2233911
Song JHan KKim S(2022)“I Have No Text in My Post”: Using Visual Hints to Model User Emotions in Social MediaProceedings of the ACM Web Conference 202210.1145/3485447.3512009(2888-2896)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3485447.3512009
Show More Cited By

Index Terms

Identifying relevant social media content: leveraging information diversity and user cognition
1. Applied computing
  1. Law, social and behavioral sciences
    1. Sociology
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

HT '11: Proceedings of the 22nd ACM conference on Hypertext and hypermedia

June 2011

348 pages

ISBN:9781450302562

DOI:10.1145/1995966

General Chair:
Paul De Bra
Eindhoven University of Technology, the Netherlands
,
Program Chair:
Kaj Grønbæk
Aarhus University, Denmark

Copyright © 2011 ACM.

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 ACM 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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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Published: 06 June 2011

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HT '11: 22nd ACM Conference on Hypertext and Hypermedia

June 6 - 9, 2011

Eindhoven, The Netherlands

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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35th ACM Conference on Hypertext and Social Media

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Cited By

Sonoda AToriumi FNakajima H(2024)User Experiments on the Effect of the Diversity of Consumption on News ServicesIEEE Access10.1109/ACCESS.2024.336777012(31841-31852)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3367770
Fan YPan JSheng J(2023)Strategies of Chinese State Media on TwitterPolitical Communication10.1080/10584609.2023.223391141:1(4-25)Online publication date: 11-Jul-2023
https://doi.org/10.1080/10584609.2023.2233911
Song JHan KKim S(2022)“I Have No Text in My Post”: Using Visual Hints to Model User Emotions in Social MediaProceedings of the ACM Web Conference 202210.1145/3485447.3512009(2888-2896)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3485447.3512009
Ranga ISingh RRanga B(2022)Which User-Generated Content is Considered Useful by Tourists? An Investigation Into the Role of Information Types Shared in Online Discourse in Online Travel CommunitiesInternational Journal of Human–Computer Interaction10.1080/10447318.2022.209344739:15(3114-3126)Online publication date: 8-Jul-2022
https://doi.org/10.1080/10447318.2022.2093447
Ranganathan JTsahai T(2022)Sentiment Analysis of Tweets Using Deep LearningAdvanced Data Mining and Applications10.1007/978-3-031-22064-7_9(106-117)Online publication date: 24-Nov-2022
https://doi.org/10.1007/978-3-031-22064-7_9
Sanna Passino FMaystre LMoor DAnderson ALalmas M(2021)Where To Next? A Dynamic Model of User PreferencesProceedings of the Web Conference 202110.1145/3442381.3450028(3210-3220)Online publication date: 19-Apr-2021
https://dl.acm.org/doi/10.1145/3442381.3450028
Chang ISun OAhn JLiu Y(2021)Is Social Diversity Related to Misinformation Resistance? An Empirical Study on Social Communities2021 IEEE Global Humanitarian Technology Conference (GHTC)10.1109/GHTC53159.2021.9612455(312-318)Online publication date: 19-Oct-2021
https://doi.org/10.1109/GHTC53159.2021.9612455
Anderson AMaystre LAnderson IMehrotra RLalmas M(2020)Algorithmic Effects on the Diversity of Consumption on SpotifyProceedings of The Web Conference 202010.1145/3366423.3380281(2155-2165)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380281
Fan CJiang YMostafavi A(2020)Emergent social cohesion for coping with community disruptions in disastersJournal of The Royal Society Interface10.1098/rsif.2019.077817:164(20190778)Online publication date: Mar-2020
https://doi.org/10.1098/rsif.2019.0778
Gal-Tzur ABar-Lev SShiftan Y(2019)Using Question & Answer Forums as a Platform for Improving Transport-Related Information for TouristsJournal of Travel Research10.1177/004728751987725459:7(1221-1237)Online publication date: 14-Oct-2019
https://doi.org/10.1177/0047287519877254
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