research-article

On the Relationship between Novelty and Popularity of User-Generated Content

Authors:

Haggai Roitman,

Elad Yom-TovAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 3, Issue 4

Article No.: 69, Pages 1 - 19

https://doi.org/10.1145/2337542.2337554

Published: 01 September 2012 Publication History

Abstract

This work deals with the task of predicting the popularity of user-generated content. We demonstrate how the novelty of newly published content plays an important role in affecting its popularity. More specifically, we study three dimensions of novelty. The first one, termed contemporaneous novelty, models the relative novelty embedded in a new post with respect to contemporary content that was generated by others. The second type of novelty, termed self novelty, models the relative novelty with respect to the user’s own contribution history. The third type of novelty, termed discussion novelty, relates to the novelty of the comments associated by readers with respect to the post content. We demonstrate the contribution of the new novelty measures to estimating blog-post popularity by predicting the number of comments expected for a fresh post. We further demonstrate how novelty based measures can be utilized for predicting the citation volume of academic papers.

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Index Terms

On the Relationship between Novelty and Popularity of User-Generated Content
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 3, Issue 4

September 2012

410 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2337542

Issue’s Table of Contents

Copyright © 2012 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2012

Accepted: 01 May 2011

Revised: 01 March 2011

Received: 01 November 2010

Published in TIST Volume 3, Issue 4

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Han DZhao WPang ZWu Z(2025)What does leveling up bring? A study on the ex post incentives of the hierarchical privilege levels in online brand communitiesComputers in Human Behavior10.1016/j.chb.2025.108557165(108557)Online publication date: Apr-2025
https://doi.org/10.1016/j.chb.2025.108557
Cheng YLin SZhou ZShen Z(2024)Boosting Platform Engagement through Diversity: An Algorithmic Feedback ApproachSSRN Electronic Journal10.2139/ssrn.4769961Online publication date: 2024
https://doi.org/10.2139/ssrn.4769961
Zhang XZhou MLee G(2024)Generative AI and Creator Economy: Investigating the Effects of AI-Generated Voice on Online Video CreationSSRN Electronic Journal10.2139/ssrn.4676705Online publication date: 2024
https://doi.org/10.2139/ssrn.4676705
Kang YLee ULee S(2024)Who Makes Popular Content? Information Cues from Content Creators for Users’ game Choice: Focusing on User-Created Content Platform “Roblox”Entertainment Computing10.1016/j.entcom.2024.10069750(100697)Online publication date: May-2024
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Yang WKim YKim TLee CCeran Y(2024)From whales to minnows: The impact of crypto-reward fairness on user engagement in social mediaDecision Support Systems10.1016/j.dss.2024.114289(114289)Online publication date: Jul-2024
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Gu TCheng ZZhang ZLi CNi YWang X(2022)Formation mechanism of contributors’ self-identity based on social identity in online knowledge communitiesFrontiers in Psychology10.3389/fpsyg.2022.104652513Online publication date: 15-Dec-2022
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