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Predicting the volume of comments on online news stories

https://doi.org/10.1145/1645953.1646225
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11735106_26openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-3-642-00958-7_42openalex-snapshot
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inferredcites →https://doi.org/10.1109/la-web.2007.59openalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1083-6101.2008.00414.xopenalex-snapshot
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inferredcites →https://doi.org/10.1145/1081870.1081883openalex-snapshot
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inferredcites →https://doi.org/10.1145/1316902.1316919openalex-snapshot
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inferredcites →https://doi.org/10.1145/1379092.1379106openalex-snapshot
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inferredcites →https://doi.org/10.3115/1599081.1599141openalex-snapshot
Reading the markets
inferredcites →https://doi.org/10.48550/arxiv.0708.1579openalex-snapshot
Homogeneous temporal activity patterns in a large online communication space

What points at this work

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inferred← citeshttps://doi.org/10.2139/ssrn.2012183openalex-extracted
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inferred← citeshttps://doi.org/10.2139/ssrn.3328475openalex-extracted
Using Word Embedding and Community Discovery to Understand the Market for Remanufactured and Refurbished Products
inferred← citeshttps://doi.org/10.1002/asi.23096openalex-snapshot
User engagement in online N ews: Under the scope of sentiment, interest, affect, and gaze
inferred← citeshttps://doi.org/10.1002/widm.1342openalex-snapshot
On the dynamics of user engagement in news comment media
inferred← citeshttps://doi.org/10.1007/978-3-030-00479-8_14openalex-snapshot
Early Commenting Features for Emotional Reactions Prediction
inferred← citeshttps://doi.org/10.1007/978-3-030-01313-4_36openalex-snapshot
XiaoA: A Robot Editor for Popularity Prediction of Online News Based on Ensemble Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-14683-2_9openalex-snapshot
The Anatomy of Reddit: An Overview of Academic Research
inferred← citeshttps://doi.org/10.1007/978-3-030-46133-1_33openalex-snapshot
Characterization and Early Detection of Evergreen News Articles
inferred← citeshttps://doi.org/10.1007/978-3-030-63322-6_74openalex-snapshot
Burst Detection in Social Media Communities
inferred← citeshttps://doi.org/10.1007/978-3-030-77626-8_14openalex-snapshot
Public Opinion Dynamics in Online Discussions: Cumulative Commenting and Micro-level Spirals of Silence
inferred← citeshttps://doi.org/10.1007/978-3-030-91560-5_6openalex-snapshot
News Popularity Prediction with Local-Global Long-Short-Term Embedding
inferred← citeshttps://doi.org/10.1007/978-3-031-70362-1_9openalex-snapshot
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes
inferred← citeshttps://doi.org/10.1007/978-3-319-11116-2_33openalex-snapshot
Popularity Prediction in Microblogging Network
inferred← citeshttps://doi.org/10.1007/978-3-319-13734-6_19openalex-snapshot
How Hidden Aspects Can Improve Recommendation?
inferred← citeshttps://doi.org/10.1007/978-3-319-46349-0_15openalex-snapshot
Learning from the News: Predicting Entity Popularity on Twitter
inferred← citeshttps://doi.org/10.1007/978-3-642-12275-0_19openalex-snapshot
News Comments:Exploring, Modeling, and Online Prediction
inferred← citeshttps://doi.org/10.1007/978-3-642-28997-2_5openalex-snapshot
Predicting the Future Impact of News Events
inferred← citeshttps://doi.org/10.1007/978-3-642-28997-2_51openalex-snapshot
Predicting IMDB Movie Ratings Using Social Media
inferred← citeshttps://doi.org/10.1007/978-3-642-35063-4_8openalex-snapshot
Diversifying User Comments on News Articles
inferred← citeshttps://doi.org/10.1007/s00354-017-0019-xopenalex-snapshot
A Framework for Recommendation of Highly Popular News Lacking Social Feedback
inferred← citeshttps://doi.org/10.1007/s10791-014-9241-zopenalex-snapshot
Identifying top news stories based on their popularity in the blogosphere
inferred← citeshttps://doi.org/10.1007/s10791-018-9333-2openalex-snapshot
A topic recommender for journalists
inferred← citeshttps://doi.org/10.1007/s10844-014-0328-1openalex-snapshot
Algorithms and criteria for diversification of news article comments
inferred← citeshttps://doi.org/10.1007/s11042-012-1138-5openalex-snapshot
Social reader: towards browsing the social web
inferred← citeshttps://doi.org/10.1007/s11042-017-4348-zopenalex-snapshot
Modeling and predicting the popularity of online news based on temporal and content-related features
inferred← citeshttps://doi.org/10.1007/s11042-021-11517-4openalex-snapshot
An ensemble of deep learning algorithms for popularity prediction of flickr images
inferred← citeshttps://doi.org/10.1007/s11280-017-0436-2openalex-snapshot
Towards better news article recommendation
inferred← citeshttps://doi.org/10.1007/s11616-018-0408-2openalex-snapshot
Die Wirkung „guter“ Argumente
inferred← citeshttps://doi.org/10.1007/s13278-014-0173-9openalex-snapshot
An exploration of submissions and discussions in social news: mining collective intelligence of Reddit
inferred← citeshttps://doi.org/10.1007/s13278-014-0174-8openalex-snapshot
From popularity prediction to ranking online news
inferred← citeshttps://doi.org/10.1007/s13278-022-00969-7openalex-snapshot
A multi-perspective micro-analysis of popularity trend dynamics for user-generated content
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.08.035openalex-snapshot
Adaptive sentiment-aware one-class collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113231openalex-snapshot
A Bayesian learning model for design-phase service mashup popularity prediction
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113990openalex-snapshot
Twitter trends: A ranking algorithm analysis on real time data
inferred← citeshttps://doi.org/10.1016/j.ijpe.2020.107807openalex-snapshot
Mapping the market for remanufacturing: An application of “Big Data” analytics
inferred← citeshttps://doi.org/10.1016/j.im.2015.01.002openalex-snapshot
Understanding News 2.0: A framework for explaining the number of comments from readers on online news
inferred← citeshttps://doi.org/10.1016/j.im.2021.103428openalex-snapshot
DNCP: An attention-based deep learning approach enhanced with attractiveness and timeliness of News for online news click prediction
inferred← citeshttps://doi.org/10.1016/j.ins.2016.03.006openalex-snapshot
Personalized recommendation of stories for commenting in forum-based social media
inferred← citeshttps://doi.org/10.1016/j.ins.2016.07.043openalex-snapshot
Predicting the popularity growth of online content: Model and algorithm
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105786openalex-snapshot
On modeling and predicting popularity dynamics via integrating generative model and rich features
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106430openalex-snapshot
A named entity topic model for news popularity prediction
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.12.039openalex-snapshot
NPP: A neural popularity prediction model for social media content
inferred← citeshttps://doi.org/10.1016/j.osnem.2019.05.002openalex-snapshot
A review on web content popularity prediction: Issues and open challenges
inferred← citeshttps://doi.org/10.1016/j.physa.2018.08.014openalex-snapshot
Quantifying users’ selection behavior in online commercial systems
inferred← citeshttps://doi.org/10.1016/j.physa.2019.01.132openalex-snapshot
Predicting popularity via a generative model with adaptive peeking window
inferred← citeshttps://doi.org/10.1016/j.physa.2021.126378openalex-snapshot
Improving recommendation by connecting user behavior in temporal and topological dimensions
inferred← citeshttps://doi.org/10.1016/j.physrep.2018.05.002openalex-snapshot
Structure-oriented prediction in complex networks
inferred← citeshttps://doi.org/10.1051/e3sconf/202459306001openalex-snapshot
Enactment of Opinion Mining for Medium and Small Medium Enterprises in the Face of Digital Marketing Era
inferred← citeshttps://doi.org/10.1080/1369118x.2014.997268openalex-snapshot
User comments: motives and inhibitors to write and read
inferred← citeshttps://doi.org/10.1080/21670811.2016.1189840openalex-snapshot
The Multifaceted Role of User-Generated Content in News Websites
inferred← citeshttps://doi.org/10.1109/access.2016.2580911openalex-snapshot
A Peek Into the Future: Predicting the Popularity of Online Videos
inferred← citeshttps://doi.org/10.1109/access.2018.2818792openalex-snapshot
Characteristics Analysis of Data From News and Social Network Services
inferred← citeshttps://doi.org/10.1109/access.2020.2976134openalex-snapshot
Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks
inferred← citeshttps://doi.org/10.1109/asonam.2011.22openalex-snapshot
Predicting Network Response Times Using Social Information
inferred← citeshttps://doi.org/10.1109/besc.2017.8256373openalex-snapshot
Leveraging adaptive peeking window to improve self-exciting point process model for popularity prediction
inferred← citeshttps://doi.org/10.1109/bigcomp.2016.7425817openalex-snapshot
Predicting popularity of articles on bulletin board system
inferred← citeshttps://doi.org/10.1109/cac.2017.8243290openalex-snapshot
Hierarchical neural network for online news popularity prediction
inferred← citeshttps://doi.org/10.1109/cesys.2018.8724022openalex-snapshot
Content Popularity Prediction Methods - A Survey
inferred← citeshttps://doi.org/10.1109/cit.2017.36openalex-snapshot
Predicting the Popularity of Online News Based on Multivariate Analysis
inferred← citeshttps://doi.org/10.1109/cns.2018.8433152openalex-snapshot
An Approach for Predicting the Popularity of Online Security News Articles
inferred← citeshttps://doi.org/10.1109/datacom.2019.00017openalex-snapshot
Predicting Performance of Social Media Postings using Data Mining Methods
inferred← citeshttps://doi.org/10.1109/hicss.2012.528openalex-snapshot
Shepherding and Censorship: Discourse Management in the Tea Party Patriots Facebook Group
inferred← citeshttps://doi.org/10.1109/icaccs.2017.8014676openalex-snapshot
Flash crowd prediction in Twitter
inferred← citeshttps://doi.org/10.1109/icce.2018.8326164openalex-snapshot
Making online content viral through text analysis
inferred← citeshttps://doi.org/10.1109/icctec.2017.00161openalex-snapshot
Research on Interactive Text Topic Mining Based on LDA Model -- Taking Customer Service Chat Records as an Example
inferred← citeshttps://doi.org/10.1109/iccubea.2017.8463790openalex-snapshot
Prediction & Evaluation of Online News Popularity Using Machine Intelligence
inferred← citeshttps://doi.org/10.1109/icdmw.2016.0154openalex-snapshot
Time-Based Ensembles for Prediction of Rare Events in News Stream
inferred← citeshttps://doi.org/10.1109/icipca65645.2025.11138626openalex-snapshot
News Public Opinion Analysis and Prognostication System Grounded on Massive Data and Artificial Intelligence
inferred← citeshttps://doi.org/10.1109/icwr.2016.7498452openalex-snapshot
A survey on web news retrieval and mining
inferred← citeshttps://doi.org/10.1109/ikt.2013.6620114openalex-snapshot
Content diffusion prediction in social networks
inferred← citeshttps://doi.org/10.1109/isi.2013.6578807openalex-snapshot
Predicting user participation in social networking sites
inferred← citeshttps://doi.org/10.1109/socpar.2013.7054112openalex-snapshot
What should I comment: Recommending posts for commenting
inferred← citeshttps://doi.org/10.1109/tkde.2020.3048428openalex-snapshot
Event Popularity Prediction Using Influential Hashtags From Social Media
inferred← citeshttps://doi.org/10.1109/tkde.2021.3126475openalex-snapshot
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
inferred← citeshttps://doi.org/10.1109/wcica.2018.8630557openalex-snapshot
A Two-stage Prediction Method of News Popularity only using Content Features
inferred← citeshttps://doi.org/10.1111/j.1365-2729.2012.00477.xopenalex-snapshot
Let us take a Yale open course: a Chinese view of open educational resources provided by institutions in the West
inferred← citeshttps://doi.org/10.1137/1.9781611974348.50openalex-snapshot
Predicting the Popularity of News Articles
inferred← citeshttps://doi.org/10.1145/1835449.1835691openalex-snapshot
Finding people and their utterances in social media
inferred← citeshttps://doi.org/10.1145/1871437.1871659openalex-snapshot
On the relationship between novelty and popularity of user-generated content
inferred← citeshttps://doi.org/10.1145/1935826.1935906openalex-snapshot
Linking online news and social media
inferred← citeshttps://doi.org/10.1145/1988688.1988766openalex-snapshot
Predicting the popularity of online articles based on user comments
inferred← citeshttps://doi.org/10.1145/2187836.2187895openalex-snapshot
Care to comment?
inferred← citeshttps://doi.org/10.1145/2337542.2337553openalex-snapshot
Information Retrieval in the Commentsphere
inferred← citeshttps://doi.org/10.1145/2337542.2337554openalex-snapshot
On the Relationship between Novelty and Popularity of User-Generated Content
inferred← citeshttps://doi.org/10.1145/2339530.2339573openalex-snapshot
From user comments to on-line conversations
inferred← citeshttps://doi.org/10.1145/2380718.2380752openalex-snapshot
Behaviour analysis across different types of enterprise online communities
inferred← citeshttps://doi.org/10.1145/2396761.2396798openalex-snapshot
Topic-driven reader comments summarization
inferred← citeshttps://doi.org/10.1145/2433396.2433401openalex-snapshot
Characterizing and curating conversation threads
inferred← citeshttps://doi.org/10.1145/2556420.2556784openalex-snapshot
FAST
inferred← citeshttps://doi.org/10.1145/2671188.2749405openalex-snapshot
Latent Factors of Visual Popularity Prediction
inferred← citeshttps://doi.org/10.1145/2684822.2685303openalex-snapshot
Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
inferred← citeshttps://doi.org/10.1145/2872518.2890096openalex-snapshot
Predicting News Popularity by Mining Online Discussions
inferred← citeshttps://doi.org/10.1145/3018896.3018931openalex-snapshot
Empirical research on distribution characteristics of online news comment
inferred← citeshttps://doi.org/10.1145/3038912.3052626openalex-snapshot
GPOP
inferred← citeshttps://doi.org/10.1145/3077136.3080781openalex-snapshot
Accounting for the Correspondence in Commented Data
inferred← citeshttps://doi.org/10.1145/3166054.3166056openalex-snapshot
On the Measurement and Prediction of Web Content Utility
inferred← citeshttps://doi.org/10.1145/3209542.3209575openalex-snapshot
To Post or Not to Post
inferred← citeshttps://doi.org/10.1145/3274467openalex-snapshot
Characterizing Online Public Discussions through Patterns of Participant Interactions
inferred← citeshttps://doi.org/10.1145/3331184.3331301openalex-snapshot
Analyzing and Predicting News Popularity in an Instant Messaging Service
inferred← citeshttps://doi.org/10.1145/3377290.3377299openalex-snapshot
Predicting the success of news
inferred← citeshttps://doi.org/10.1145/3433000openalex-snapshot
A Survey of Information Cascade Analysis
inferred← citeshttps://doi.org/10.1145/3539618.3591741openalex-snapshot
News Popularity Beyond the Click-Through-Rate for Personalized Recommendations
inferred← citeshttps://doi.org/10.1145/3555373openalex-snapshot
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation
inferred← citeshttps://doi.org/10.1155/2022/6512602openalex-snapshot
Research on the Prediction of Popularity of News Dissemination Public Opinion Based on Data Mining
inferred← citeshttps://doi.org/10.11591/ijai.v11.i2.pp539-545openalex-snapshot
Online news popularity prediction before publication: effect of readability, emotion, psycholinguistics features
inferred← citeshttps://doi.org/10.1177/0165551516673285openalex-snapshot
News events prediction using Markov logic networks
inferred← citeshttps://doi.org/10.1177/0894439318779336openalex-snapshot
Exploring User Responses to Entertainment and Political Videos: An Automated Content Analysis of YouTube
inferred← citeshttps://doi.org/10.1177/1461444813495165openalex-snapshot
Discussions in the comments section: Factors influencing participation and interactivity in online newspapers’ reader comments
inferred← citeshttps://doi.org/10.1177/2056305115621934openalex-snapshot
‘Let’s Get Them Involved’ . . . to Some Extent: Analyzing Online News Participation
inferred← citeshttps://doi.org/10.1186/s13174-014-0008-yopenalex-snapshot
A survey on predicting the popularity of web content
inferred← citeshttps://doi.org/10.1186/s13174-017-0066-zopenalex-snapshot
Generative models of online discussion threads: state of the art and research challenges
inferred← citeshttps://doi.org/10.12794/metadc2179299openalex-snapshot
Countering hate speech: modeling user-generated web content using natural language processing
inferred← citeshttps://doi.org/10.13053/cys-21-4-2848openalex-snapshot
A Supervised Method to Predict the Popularity of News Articles
inferred← citeshttps://doi.org/10.1360/n112018-00081openalex-snapshot
Decentralized cascade dynamics modeling
inferred← citeshttps://doi.org/10.1371/journal.pone.0071226openalex-snapshot
Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data
inferred← citeshttps://doi.org/10.1609/icwsm.v11i1.14977openalex-snapshot
The Impact of Crowds On News Engagement: A Reddit Case Study
inferred← citeshttps://doi.org/10.1609/icwsm.v12i1.15071openalex-snapshot
Emotional Influence Prediction of News Posts
inferred← citeshttps://doi.org/10.1609/icwsm.v12i1.15074openalex-snapshot
Discovering Political Slang in Readers' Comments
inferred← citeshttps://doi.org/10.1609/icwsm.v15i1.18051openalex-snapshot
Cannot Predict Comment Volume of a News Article before (a few) Users Read It
inferred← citeshttps://doi.org/10.1609/icwsm.v18i1.31422openalex-snapshot
Hate Cannot Drive Out Hate: Forecasting Conversation Incivility following Replies to Hate Speech
inferred← citeshttps://doi.org/10.1609/icwsm.v7i1.14408openalex-snapshot
What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media
inferred← citeshttps://doi.org/10.1609/icwsm.v8i1.14518openalex-snapshot
How Community Feedback Shapes User Behavior
inferred← citeshttps://doi.org/10.17645/mac.v7i3.1910openalex-snapshot
Newsworthiness and the Public’s Response in Russian Social Media: A Comparison of State and Private News Organizations
inferred← citeshttps://doi.org/10.18653/v1/2021.nlp4convai-1.22openalex-snapshot
Using Pause Information for More Accurate Entity Recognition
inferred← citeshttps://doi.org/10.18653/v1/2023.ijcnlp-main.46openalex-snapshot
Analyzing and Predicting Persistence of News Tweets
inferred← citeshttps://doi.org/10.18653/v1/d16-1189openalex-snapshot
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads
inferred← citeshttps://doi.org/10.18653/v1/n18-3024openalex-snapshot
Prediction for the Newsroom: Which Articles Will Get the Most Comments?
inferred← citeshttps://doi.org/10.18653/v1/w16-6209openalex-snapshot
Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online Discussions
inferred← citeshttps://doi.org/10.2196/10501openalex-snapshot
Visual Cancer Communication on Social Media: An Examination of Content and Effects of #Melanomasucks
inferred← citeshttps://doi.org/10.23919/picmet59654.2023.10216852openalex-snapshot
An Explorative Study on the Social Media Content Popularity of Taiwanese Public News Media Using Text Mining Techniques
inferred← citeshttps://doi.org/10.25643/bauhaus-universitaet.1566openalex-snapshot
Technologies for Reusing Text from the Web
inferred← citeshttps://doi.org/10.3115/v1/p14-1141openalex-snapshot
Predicting Instructor's Intervention in MOOC forums
inferred← citeshttps://doi.org/10.31921/doxacom.n16a2openalex-snapshot
El tratamiento de la monarquía española en Internet. Géneros informativos y comentarios en ABC.es y ELPAÍS.com (2009-2011)
inferred← citeshttps://doi.org/10.32657/10356/65539openalex-snapshot
Ranking user generated content using topic models
inferred← citeshttps://doi.org/10.3390/su14074225openalex-snapshot
Predicting Advertisement Revenue of Social-Media-Driven Content Websites: Toward More Efficient and Sustainable Social Media Posting
inferred← citeshttps://doi.org/10.4185/rlcs-2020-1429openalex-snapshot
Clics y comentarios como expresiones del dilema de intereses de los usuarios ante las noticias: el caso del agregador de noticias de lengua hispana Menéame
inferred← citeshttps://doi.org/10.48550/arxiv.1204.0128openalex-snapshot
From User Comments to On-line Conversations
inferred← citeshttps://doi.org/10.48550/arxiv.1608.04808openalex-snapshot
Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions
inferred← citeshttps://doi.org/10.48550/arxiv.2109.13222openalex-snapshot
Using Pause Information for More Accurate Entity Recognition
inferred← citeshttps://doi.org/10.4995/thesis/10251/195352openalex-snapshot
Digital Comments on News: A Contrastive Study of the Rhetorical Devices used in the United Kingdom, India and the United States of America
inferred← citeshttps://doi.org/10.5120/ijca2016910131openalex-snapshot
Comment Volume Prediction using Regression
inferred← citeshttps://doi.org/10.5771/2192-4007-2013-1-67openalex-snapshot
Männlich, rüstig, kommentiert? Einflussfaktoren auf die Aktivität kommentierender Nutzer von Online-Nachrichtenseiten
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