On the dynamics of user engagement in news comment media

Author:

He Lihong1,Han Chao1,Mukherjee Arjun2,Obradovic Zoran1,Dragut Eduard1ORCID

Affiliation:

1. Department of Computer and Information Sciences Temple University Philadelphia Pennsylvania

2. Department of Computer Science University of Houston Houston Texas

Funder

Division of Social and Economic Sciences

Publisher

Wiley

Subject

General Computer Science

Reference52 articles.

1. Aker A. Kurtic E. Balamurali A. Paramita M. Barker E. Hepple M. &Gaizauskas R.(2016). A graph‐based approach to topic clustering for online comments to news. In:European Conference on Information Retrieval(pp.15–29).

2. Aragón P. Gómez V. &Kaltenbrunner A.(2017). To thread or not to thread: The impact of conversation threading on online discussion. In:Eleventh International AAAI Conference on Web and Social Media(pp. 12–21).

3. Artzi Y. Pantel P. &Gamon M.(2012). Predicting responses to microblog posts. In:Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies(pp. 602–606).

4. Backstrom L. Kleinberg J. Lee L. &Danescu‐Niculescu‐Mizil C.(2013). Characterizing and curating conversation threads: Expansion focus volume re‐entry. In:Proceedings of the sixth ACM international conference on Web search and data mining(pp. 13–22).

5. The origin of bursts and heavy tails in human dynamics

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Indifferent About Online Traffic: The Posting Strategies of Five News Outlets During Musk’s Acquisition of Twitter;Journalism Studies;2024-07-23

2. Agent-based modelling of user engagement in new product development;Technovation;2024-07

3. Comquest: Large Scale User Comment Crawling and Integration;Companion of the 2024 International Conference on Management of Data;2024-06-09

4. Online Self-Disclosure, Social Support, and User Engagement During the COVID-19 Pandemic;ACM Transactions on Social Computing;2023-12-09

5. Research on the Application of Machine Learning in the Field of News Commentary Analysis;2023 International Conference on Culture-Oriented Science and Technology (CoST);2023-10-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3