Academic Journal
Q1Computational Communication Research
About Computational Communication Research
Computational Communication Research is a scholarly journal published by Amsterdam University Press. SCImago 2025 lists it in Q1, with an SJR of 1.542 and H-index of 17.
Coverage: 2019-2026. Research categories: Computational Theory and Mathematics (Q1); Linguistics and Language (Q1).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2025-01-27. This snapshot does not establish today’s listing status or fee quotation.
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Source-backed journal facts
Topics in published research
Computational and Text Analysis Methods; Social Media and Politics; Misinformation and Its Impacts; Topic Modeling; Hate Speech and Cyberbullying Detection; Opinion Dynamics and Social Influence.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Be Careful What You Prompt For: Generative AI in Computational Communication Research
Alvin Zhou, Subhayan Mukerjee, Ewa Maslowska, Zening Duan et al.
2026-09-14 · DOI: 10.5117/ccr2026.2.1.zhouReddit Conversation Laboratory: Field experiments with conversational AI agents
Jeremy Foote, Loizos Bitsikokos, Hitesh Goel, Deepak Kumar et al.
2026-09-14 · DOI: 10.5117/ccr2026.2.5.foottransforEmotion: An Open-Source R Package for Emotion Analysis Using Transformer-Based Generative AI Models
Aleksandar Tomašević, Hudson Golino, Alexander Christensen
2026-09-14 · DOI: 10.5117/ccr2026.2.2.tomaVisual Framing at Scale: A Theory-Driven Computational Framework for Analyzing Protest Imagery with Generative AI
Sang Jung Kim, Lei Chen
2026-09-14 · DOI: 10.5117/ccr2026.2.3.kimBeyond Keywords: Comparing LLM-Assisted Topic Modeling Approaches Across Political Communication Contexts
Ryan Yang Wang, Catherine Chen
2026-09-14 · DOI: 10.5117/ccr2026.2.12.wangInfluence in Motion: Tracing Persuasive Dynamics via Multi‐Agent Networks
Ming Huang, Zi-Ke Zhang
2026-09-14 · DOI: 10.5117/ccr2026.2.9.huanWhen Does Self-Correction Work for LLMs in Content Analysis? The Role of External Structure and Task Complexity
Christian Pipal, Morgan Wack, Astrid Annisa Profos, Eva-Maria Vogel et al.
2026-09-14 · DOI: 10.5117/ccr2026.2.13.pipaLarge Language Model-driven Multi-Agent Simulation for Fake News Diffusion Under Different Network Structures
Xinyi Li, Yu Xu, Yongfeng Zhang, Edward Malthouse et al.
2026-09-14 · DOI: 10.5117/ccr2026.2.8.liLeveraging Survey-Informed LLM Personas to Identify Cultural References : Enhancing Inclusivity in News Reporting
Reshmi Pillai, Antske Fokkens, Wouter van Atteveldt
2026-09-14 · DOI: 10.5117/ccr2026.2.10.pillSeeing the Surreal: Mapping Surrealism in Photorealistic AI-Generated Images Using Large Language Models
Xinyi Liu, Yingdan Lu, Qiyao Peng, Sijia Qian et al.
2026-09-14 · DOI: 10.5117/ccr2026.2.6.liuLabelGenius: A Python Library for LLM-based Text-Image Content Labeling
Jiacheng Huang, Zhongxing Zhang, Chris Chao Su
2026-09-14 · DOI: 10.5117/ccr2026.2.7.huanPositivity Bias in AI-Generated Summaries of User-Generated Content: Exploring Its Sources and Impact on Public Sentiment
Anna Yan Liu, Maggie Mengqing Zhang
2026-09-14 · DOI: 10.5117/ccr2026.2.4.liuGender Representation in Large Language Models: A Cross-Linguistic and Cross-Model Analysis
Aleksandra Urman, Emese Domahidi, Johannes B. Gruber, Ana Jovančević et al.
2026-09-14 · DOI: 10.5117/ccr2026.2.11.urmaThe Mobile Observation of Advertising Toolkit: A Tool for Understanding Ephemeral and Sequenced Social Media Data
Abdul Obeid, Daniel Angus, Dang Khuong Tran, Lauren Hayden et al.
2026-09-01 · DOI: 10.5117/ccr2026.1.9.obeiPut your Data where your Mouth is: Exploring the Viability of WhatsApp Data Donations to investigate Interpersonal Relationships
Julian Kohne, Christian Montag
2026-09-01 · DOI: 10.5117/ccr2026.1.6.kohnUsing GitHub Actions for Computational Communication Research
Inessa De Angelis
2026-09-01 · DOI: 10.5117/ccr2026.1.14.deanIn search of truth: A refined approach to collecting and annotating data for BERT-based misinformation detection
Lotte L. Schrijver, Rens Vliegenthart, Pearl Dykstra
2026-09-01 · DOI: 10.5117/ccr2026.1.7.schrDo Generative Large Language Models Close the Language Gap in Multilingual Discourse Classification? An Evaluation Across Three European Languages
Frederik Weber Henriksen
2026-09-01 · DOI: 10.5117/ccr2026.1.11.henrTopic Classification of News Articles from URLs Alone
Nick Hagar
2026-09-01 · DOI: 10.5117/ccr2026.1.1.hagaWhen More Shots Don’t Help: LLM Sensitivity and Variability in Social Media Annotation and Stance Detection of Health Information
Luhang Sun, Varsha Pendyala, Yun-Shiuan Chuang, Shanglin Yang et al.
2026-09-01 · DOI: 10.5117/ccr2026.1.4.sunReviews
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Version History
October 4, 2026 at 8:51 pm
September 25, 2026