Journal of Computational Social Science
2018 - 2026
Current editor(s): Takashi Kamihigashi From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 9, issue 2, 2026
- Mathematical modeling of crime and corruption dynamics: a cross-national analysis of their interdependencies pp. 1-28

- Oke I. Idisi, Kazeem B. Akande, Lawal A. Suleiman, Olagbami O. Samson and Adejimi Adeniji
- Exploring the invisible: examining the experiences of non-binary gendered individuals with unsupervised machine learning and sentiment analysis pp. 1-22

- Ksenia Polson
- Beyond keywords: modeling the semantic complexity of deceptive communication on instant messaging platforms pp. 1-27

- Shuo Xu, Zhanyi Ding, Zijing Wei, Chao Peter Yang, Yixiang Li, Xuanjie Chen and Hailiang Wang
- Parallelism between citations and altmetrics: evidence and insights from collaborative boost indicators for science policy/governance pp. 1-33

- Hiran H. Lathabai, A. S. Anandhukrishna, Prema Nedungadi, Rakhi Mohan and Raghu Raman
- Context-sensitive poverty measurement: an adaptive MPI using machine learning in rural Morocco pp. 1-18

- Tariq Hadrachi and Mohammed El Kamli
- Potential landscapes reveal spatiotemporal structure in urban mobility: Hodge decomposition and principal component analysis of Tokyo before and during COVID-19 pp. 1-21

- Yunhan Du, Takaaki Aoki and Naoya Fujiwara
Volume 9, issue 1, 2026
- Application of ANNs for predicting poverty levels with interval estimation: a case study of Odisha, India pp. 1-20

- Sandeep Kumar, S. Chakraverty and Narayan Sethi
- Simulating human responses to environmental messaging pp. 1-20

- Ian Drumm and Atefeh Tate
- Systematic literature review on hate speech detection in Indian low-resource languages pp. 1-47

- Kathiravan Pannerselvam and Saranya Rajiakodi
- The emotional trajectory of non-suicidal self-injury: sentiment analysis using social media data pp. 1-17

- Ziyue Zhu and Michelle Yik
- Anchoring race: improving the construction of race dimensions in word embeddings pp. 1-17

- Nnaemeka Ohamadike, Kevin Durrheim and Mpho Primus
- Auditing the bias of conversational AI systems in occupational recommendations: a novel approach to bias quantification via Holland’s theory pp. 1-56

- Jacob Gelling, Aleksandra Urman and Aniko Hannak
- Modeling the spatial distribution of violence against women: evidence from metropolitan Chile pp. 1-30

- Christian Caamaño-Carrillo, Sergio Contreras-Espinoza, Víctor Morales-Oñate and Cristian Zarate
- ChatGPT as a research proxy: simulating human attitudes in social science research pp. 1-30

- Antonina Rafikova and Anatoly Voronin
- Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and AI-simulated raters pp. 1-50

- Edith Haim, Natalie Fischer, Salvatore Citraro, Giulio Rossetti and Massimo Stella
- Exposing the behavior of rumour spreaders on Twitter: targeted versus non-targeted rumour pp. 1-46

- Yu-Chen Yang, Shakshi Sharma and Rajesh Sharma
- Statistical analysis of effective COVID-19 government response policies: insights from pre-omicron pandemic data pp. 1-26

- Benoit Ahanda, Caleb Brinkman and Türkay Yolcu
- Analyzing polarization among Spanish political elites using machine learning techniques pp. 1-26

- Daniel Ansia Dibuja, Miguel G. Folgado and Veronica Sanz
- Opinion dynamics game in conservation discourse pp. 1-34

- Yulia Kareeva and Artem Sedakov
- Domain-based user embedding for competing events on social media pp. 1-22

- Wentao Xu and Kazutoshi Sasahara
- Crisis, country, and party lines: politicians’ misinformation behavior and public engagement pp. 1-19

- Jingyuan Yu, Emese Domahidi, Duccio Gamannossi degl’Innocenti and Fabiana Zollo
- Digital epidemiology: leveraging social media for insight into epilepsy and mental health pp. 1-25

- Liza Dahiya and Rachit Bagga
- Who Checks the Checkers? Exploring Source Credibility in Twitter’s Community Notes pp. 1-25

- Uku Kangur, Roshni Chakraborty and Rajesh Sharma
- AI-driven forecasting of rural development in India: a deep learning case study on the gram panchayat development plan pp. 1-45

- Aditya Kumar, Sunil Kumar Singh, Kumar Utkarsh and Abhay Singh
- Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires pp. 1-28

- David Hanny, Sebastian Schmidt and Bernd Resch
- Anchoring bias in large language models: an experimental study pp. 1-24

- Jiaxu Lou and Yifan Sun
- Sentiment analysis of code-mixed Telugu–English text using transformers pp. 1-23

- Upendar Rao Rayala and Karthick Seshadri
- Transforming tweets into opinions: a deep learning approach to analyse and predict election result using social media data pp. 1-23

- Md Akram Mumtaz, Ranvijay, Ramniwas Lodhi, Neetu Verma and Abhishek Gaur
- Graph-theoretic and emotional analysis of character dynamics in novel-to-film adaptations pp. 1-23

- Tapan Chowdhury, Spandan Basu, Ayandip Roy, Vibek Sarkar, Kaushik Mondal, Ekarsi Lodh and Manashi De
- Agent-based modeling on economic dynamics—Why competing automakers coexist in Japan? pp. 1-14

- Ayako Morishita, Hiroki Yokoi, Kei-ichi Tainaka and Nariyuki Nakagiri
- Public perception on immigration and racial discrimination in Spain: a social media analysis using X data pp. 1-39

- Bruno Botas, Jenny Alexandra Cifuentes, Yury Andrea Jiménez and Maria Espinosa
Volume 8, issue 4, 2025
- Understanding conversations on alcohol across diverse Reddit communities: a computational analysis pp. 1-22

- Mansi Shah, Yara Acaf and Michael Mackert
- Filter bubbles as a vector of tradition? Decoding opinion dynamics with agent-based modelling pp. 1-22

- Benoît Desmarchelier, Faridah Djellal and Faïz Gallouj
- We know who we are: expressing national identity on YouTube video comments pp. 1-25

- Dewi Kartika Sari, Seto Herwandito, Alvianto Wahyudi Utomo, Nur Imroatus Solikhah and Nur Aji Wibowo
- Uncovering hidden alliances in organized crime networks with machine learning: from node similarity to graph neural networks pp. 1-25

- Oscar Contreras-Velasco, Nathan P. Jones, Daniel Weisz Argomedo, John P. Sullivan and Chris Callaghan
- Reading between the lines with topic models and machine learning: Islam’s representation on Wikipedia pp. 1-19

- Sazid Zaman Khan, Jamil As-ad, Md Khaliluzzaman, Toni Anwar and Rashedul Islam
- “Even I believed it! How is it possible?” The disinformation exam of journalists in the AI age: fuzzy logical approach pp. 1-48

- Gülay Demir, Sefer Darıcı, Zekiye Tamer, Onur Taydaş and Dragan Pamučar
- The spread of pro- and anti-vaccine views by coordinated communities on facebook during COVID-19 pandemic pp. 1-28

- Yunya Song, Yin Zhang, Sheng Zou, Xian Yang and Qintao Huang
- Intelligent money laundering detection approaches in banking and E-wallets: a comprehensive survey pp. 1-64

- Girish Kadamathikuttiyil Karthikeyan and Biswajit Bhowmik
- Predicting socio-economic well-being using mobile apps data: a case study of France pp. 1-24

- Rahul Goel, Angelo Furno and Rajesh Sharma
- Exploring the structure of the school curriculum with graph neural networks pp. 1-24

- Benjamín Garzón, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes and Martin J. Tomasik
- Improving homeless service assignment outcomes pp. 1-23

- Khandker Sadia Rahman and Charalampos Chelmis
- Governance, quality of life and city performance: A study based on artificial intelligence pp. 1-14

- María J. Pazos-García, Vicente López-López, Guadalupe Vila-Vázquez and Xesús Pablo González
- A review of human mobility: Linking data, models, and real-world applications pp. 1-62

- Yunhan Du, Takaaki Aoki and Naoya Fujiwara
- Leveraging machine learning and resampling techniques to analyze contributing factors to child labor in Egypt pp. 1-38

- Nahed T. Zeini and Pakinam Mahmoud Fikry
- Analyzing adolescents’ e-cigarette initiation tendency using explainable machine learning pp. 1-39

- Napat Seelpipat and Daricha Sutivong
- Analyzing public sentiment in Iranian presidential elections on Twitter using large language models pp. 1-31

- Mojgan Askarizade and Ensieh Davoodijam
- A systematic review of AI-based feedback in educational settings pp. 1-40

- Hatice Yildiz Durak and Aytuğ Onan
- Simulating relational event history data: why and how pp. 1-47

- Rumana Lakdawala, Joris Mulder and Roger Leenders
- Exploratory and explanatory features in data storytelling: untangling the interplay and associations with linearity, interactivity, and structure pp. 1-36

- Bahareh Heravi
- Space-time clustering and Bayesian network modelling of suicide dynamics in India pp. 1-30

- Anjali and B. Rushi Kumar
- Machine learning techniques with fairness for prediction of completion of drug and alcohol rehabilitation pp. 1-41

- Karen Roberts-Licklider and Theodore Trafalis
- Smart social junction traffic control using reinforcement learning on real data pp. 1-26

- Orly Barzilai, Havana Rika and Yuli Hassine
Volume 8, issue 3, 2025
- Measuring satirical uptake using word sentiment pp. 1-12

- Stephen Skalicky and Lydia Nok Chin Chan
- Beyond failure rates: unveiling startup success factors with machine learning pp. 1-42

- Leila Zemmouchi-Ghomari and Mahieddine Maroua
- Performance efficient vehicle detection and tracking based on pyramid pooling network: a review and implementation pp. 1-29

- V. Premanand, P. Likith Sai and Arghya Bhattacharya
- Multi-model ensemble framework for analysis of psychopathic traits in heinous crime convicts pp. 1-28

- Aman Singh and Subrajeet Mohapatra
- Evaluating area-level features for proxy means test models: evidence from rural, semi-urban and urban districts in poverty targeting pp. 1-28

- Siti Mariyah and Wayne Wobcke
- A comparative study of automated undergraduate engineering admission prediction in an Indian university using machine learning pp. 1-22

- Meenakshi Gupta, Alpana, Prinima Gupta and Neeraj Varshney
- The face of populism: examining differences in facial emotional expressions of political leaders using machine learning pp. 1-22

- Sara Major and Aleksandar Tomašević
- Success prediction of online news about TV series with machine learning, Google Analytics, and Twitter pp. 1-22

- Víctor Yeste, Ángeles Calduch-Losa, José-Antonio Ontalba-Ruipérez and Jorge Serrano-Cobos
- Periodicity of sex worker touring: an image-assisted analysis pp. 1-34

- Fumin Li, Yisu Zhou and Tianji Cai
- Tracking the global pulse: the first public twitter dataset from FIFA world cup pp. 1-18

- Kheir Eddine Daouadi, Yaakoub Boualleg, Oussama Guehairia and Abdelmalik Taleb-Ahmed
- Detecting misinformation through framing theory: the frame element-based model pp. 1-25

- Guan Wang, Rebecca Frederick, Jinglong Duan, William B. L. Wong, Verica Rupar, Weihua Li and Quan Bai
- SME crisis management and performance: leveraging algorithm supported induction to unravel complexity pp. 1-33

- Byron Graham and Karolis Matikonis
- Dynamics of global trade diplomacy: an artificial intelligence multi-dimensional analysis of preferential trade agreements pp. 1-33

- Seyed-Ali Sadegh-Zadeh
- Deduplication of the media-based event databases pp. 1-33

- Deepti Joshi, Regina Werum, Dalton Hazelwood, Shawn Ratcliff, Ashok Samal and Leen-Kiat Soh
- Use of brain-computer interface in educational paradigm pp. 1-44

- Zaib-un-Nisa, Tehseen Mazhar, Tariq Shahzad, Wasim Ahmad and Habib Hamam
- Enhancing tokenization accuracy with dynamic patterns: cumulative logic for segmenting user-generated content in logographic languages pp. 1-24

- Yin Zhang, Zhihuai Lin, Castiel Chi-chiu Tong and Sam Wai-yeung Ho
- Understanding the intention to use artificial intelligence chatbots in education: The role of individual innovativeness and AI trust among university students pp. 1-23

- Şahin Gökçearslan, Elif Esiyok and Kemal Gurkan Kucukergin
- ‘Slightly disappointing’ vs. ‘worst sh** ever’: tackling cultural differences in negative sentiment expressions in AI-based sentiment analysis pp. 1-31

- Franziska Sofia Hafner, Lena Hafner and Roberto Corizzo
- Innovative deep learning-based CEA-MMSA framework for cultural emotion analysis of Tamil and Sanskrit Siddha palm leaf manuscripts pp. 1-31

- R. Geethanjali and A. Valarmathi
- Exploring the role of information security news descriptions on retweet proneness and user interactions pp. 1-31

- Konstantinos Charmanas, Klairi Filippou, Nikolaos Mittas and Lefteris Angelis
- Impact of personal information and reputation system on gig workers’ employment status: an interpretable machine learning-based approach pp. 1-40

- Jiaming Liu and Hongyang Wang
- Multi-opinion based method for quantifying polarization on social networks pp. 1-17

- Maneet Singh, S. R. S. Iyengar and Rishemjit Kaur
- Prompt selection matters: enhancing text annotations for social sciences with large language models pp. 1-20

- Louis Abraham, Charles Arnal and Antoine Marie
- Reducing sexual predation and victimization through warnings and awareness among high-risk users pp. 1-20

- Masanori Takano, Mao Nishiguchi and Fujio Toriumi
- Towards fair AI: a review of bias and fairness in machine intelligence pp. 1-26

- Venkatesha Kurumayya
- Breaking the silence: the rise of hate speech in Spanish politics pp. 1-26

- Pablo Picazo-Sanchez
- Correction: Patterns of stability in complex contagions pp. 1-5

- Daniel Reisinger, Fabian Tschofenig, Raven Adam, Marie Lisa Kogler, Manfred Füllsack, Fabian Veider and Georg Jäger
Volume 8, issue 2, 2025
- Stance classification: a comparative study and use case on Australian parliamentary debates pp. 1-37

- Stephanie Ng, James Zhang, Samson Yu, Asim Bhatti, Kathryn Backholer and C. P. Lim
- Sentiment analysis of solar energy in U.S. Cities: a 10-year analysis using transformer-based deep learning pp. 1-26

- Serena Y. Kim, Crystal Soderman and Lan Sang
- Replacing or enhancing the human coder? Multiclass classification of policy documents with large language models pp. 1-20

- Erkan Gunes and Christoffer Koch Florczak
- Unraveling media perspectives: a comprehensive methodology combining large language models, topic modeling, sentiment analysis, and ontology learning to analyse media bias pp. 1-56

- Orlando Jähde, Thorsten Weber and Rüdiger Buchkremer
- Assessing political bias in large language models pp. 1-17

- Luca Rettenberger, Markus Reischl and Mark Schutera
- A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes pp. 1-59

- David Hartmann, Sonja Mei Wang, Lena Pohlmann and Bettina Berendt
- Identity diversification and homogenization: evidence from frequent estimates of similarity of self-authored, self-descriptive text pp. 1-18

- Danial Vahabli and Jason Jeffrey Jones
- Exploring incel group dynamics: a computational study of hierarchy and group-boundary policing pp. 1-25

- Veronika Solopova, Mihaela Popa-Wyatt and Justina Berškytė
- Differences of communication activity and mobility patterns between urban and rural people pp. 1-25

- Fumiko Ogushi, Chandreyee Roy and Kimmo Kaski
- ViTHSD: exploiting hatred by targets for hate speech detection on Vietnamese social media texts pp. 1-33

- Cuong Nhat Vo, Khanh Bao Huynh, Son T. Luu and Trong-Hop Do
- Semi-supervised self-training for COVID-19 misinformation detection: analyzing Twitter data and alternative news media on Norwegian Twitter pp. 1-34

- Siri Frisli
- Outlier mining in criminal networks: the role of machine learning and outlier detection models pp. 1-22

- Alex S. O. Toledo, Laura C. Carpi, Allbens P. F. Atman and A. P. Baêta Scarpelli
- Capitalizing on a crisis: a computational analysis of all five million British firms during the Covid-19 pandemic pp. 1-29

- Naomi Muggleton, Charles Rahal and Aaron Reeves
- Predicting news deserts using supervised machine learning pp. 1-29

- Arijit Paladhi
- Network position and learning dynamics: unveiling the impact of social structure on skill acquisition in online gaming platforms pp. 1-16

- Landfried Gustavo, Cairo Gustavo and Mocskos Esteban
- On the incidence of depression symptoms on social media pp. 1-30

- Esteban A. Ríssola, Mario Ezra Aragón, David E. Losada and Fabio Crestani
- Where did you come from, where did you go? News trajectories in Germany and Switzerland pp. 1-21

- Mykola Makhortykh, Ernesto León, Aleksandra Urman and Teresa Gil-López
- Evaluating tenant-landlord tensions using generative AI on online tenant forums pp. 1-21

- Xin Chen, Cheng Ren and Timothy A. Thomas
- A multidimensional analysis of media framing in the Russia-Ukraine war pp. 1-27

- Majd Ibrahim, Bang Wang, Minghua Xu and Han Xu
- AI-driven crime prediction: a systematic literature review pp. 1-47

- Nadeem Iqbal, Awais Hassan and Talha Waheed
- Modelling policy action using natural language processing: evidence for a long-run increase in policy activism in the UK pp. 1-51

- Mircea Popa
- Modelling emergent pedestrian evacuation behaviors from intelligent, game-playing agents pp. 1-35

- Yiyu Wang, Jiaqi Ge and Alexis Comber
- More pressing matters: Can priority reorientation beat online misinformation? pp. 1-23

- Amir Abdul Reda and Abdulaziz Alkhonin
- Integrating media sentiment with traditional economic indicators: a study on PMI, CCI, and employment during COVID-19 period in Poland pp. 1-23

- Iwona Kaczmarek, Adam Iwaniak, Grzegorz Chrobak and Jan K. Kazak
- Content-aware sentiment understanding: cross-modal analysis with encoder-decoder architectures pp. 1-24

- Zahra Pakdaman, Abbas Koochari and Arash Sharifi
- CEOs’ online personality and their company’s business strategy: openness to experience predicts diversifying merger and acquisition decisions pp. 1-19

- Bin Ke, Lin Qiu, Tianshu Qu, Evelyn Gay, Sarah Hian May Chan and Jose Yong
- Autonomy or control? An agent-based study of self-organising versus centralised task allocation pp. 1-28

- Shaoni Wang, Yanzhong Dang, Wander Jager and Kees Zoethout
- Quantifying collective attention and fan engagement: a case study of the Japanese professional baseball league pp. 1-15

- Naofumi Otomo, Kazutoshi Sasahara, Makoto Mizuno and Yukie Sano
Volume 8, issue 1, 2025
- Affective, cognitive, and contextual cues in Reddit posts on artificial intelligence pp. 1-27

- Nina Savela, Max Pellert, Rita Latikka, Jenna Bergdahl, David Garcia and Atte Oksanen
- Post Covid-19 economic and social impact on international migrant workers employment vulnerability: empirical evidence from Chittagong division, Bangladesh pp. 1-27

- Shapan Chandra Majumder, Md. Hasanur Rahman, Nisat Akter Suci and Luckya Kabir
- In generative AI we trust: can chatbots effectively verify political information? pp. 1-31

- Elizaveta Kuznetsova, Mykola Makhortykh, Victoria Vziatysheva, Martha Stolze, Ani Baghumyan and Aleksandra Urman
- Exploring China’s cyber sovereignty concept and artificial intelligence governance model: a machine learning approach pp. 1-31

- Ho Ting Hung
- Characteristics of two polarized groups in online social networks’ controversial discourse pp. 1-31

- Amin Mahmoudi, Dariusz Jemielniak and Leon Ciechanowski
- Substance use prediction using artificial intelligence techniques pp. 1-40

- Ali Unlu and Abdulhamit Subasi
- Prefix tuning with prompt augmentation for efficient financial news summarization pp. 1-16

- Shangyang Mou, Qiang Xue, Chen Xunquan, Jinhui Chen, Ryoichi Takashima, Tetsuya Takiguchi and Yasuo Ariki
- Long-term care comparative studies by agent-based simulation: a computational framework and a case study pp. 1-21

- Shuang Chang and Koji Maruhashi
- A structural equation modeling approach to leveraging the power of extant sentiment analysis tools pp. 1-21

- Viswadeep Lebakula, Ben Porter, Megan Stubbs-Richardson, Taylor Ray, Arthur Cosby and Cindy Bethel
- Identifying the factors influencing the development of bilateral investment treaties with health safeguards: a Machine Learning-based link prediction approach pp. 1-21

- Haohui Lu, Anne Marie Thow, Dori Patay, Takwa Tissaoui, Nicholas Frank, Holly Rippin, Tien Dat Hoang, Fabio Gomes, Wolfgang Alschner and Shahadat Uddin
- Application of explainable artificial intelligence approach to predict student learning outcomes pp. 1-33

- Jean-Baptiste M.B. Sanfo
- Detecting toxic comments on social media: an extensive evaluation of machine learning techniques pp. 1-18

- Dharil Patel, Pijush Kanti Dutta Pramanik, Chaitanya Suryawanshi and Preksha Pareek
- Climate change denial and ideology in Swedish online media: measuring ideology change using a computational approach pp. 1-25

- Victoria Yantseva
- Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning pp. 1-25

- Meysam Alizadeh, Maël Kubli, Zeynab Samei, Shirin Dehghani, Mohammadmasiha Zahedivafa, Juan D. Bermeo, Maria Korobeynikova and Fabrizio Gilardi
- Combining Twitter and mobile phone data to observe border-rush: the Turkish-European border opening pp. 1-25

- Carlos Arcila-Calderón, Bilgeçağ Aydoğdu, Tuba Bircan, Bünyamin Gündüz, Onur Önes, Albert Ali Salah and Alina Sîrbu
- Measuring the communication between multiple digital political echo chambers: multidimensional Invasiveness, Intrusiveness, and Influence pp. 1-22

- Eglantina Kalluçi and Ridvan Peshkopia
- A comprehensive investigation of variational auto-encoders for population synthesis pp. 1-34

- Abdoul Razac Sané, Pierre-Olivier Vandanjon, Rachid Belaroussi and Pierre Hankach
- Enumeration and sampling analysis of Montana’s 2020 congressional redistricting map pp. 1-34

- Kelly McKinnie and Erin Szalda-Petree
- Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach pp. 1-29

- Miyuki Matsumoto, Ryuji Hashimoto, Masahiro Suzuki, Yuri Murayama and Kiyoshi Izumi
- How culture can affect opinion dynamics: the case of vaccination pp. 1-45

- Teng Li, Andreas Flache and Wander Jager
- Modeling resilience and survivability as stochastic processes with techno-human-economic systems under stress pp. 1-42

- Kenneth Martínez, David Claudio and Jasmina Burek
- Local explainability-based model for clickbait spoiler generation pp. 1-23

- Itishree Panda, Jyoti Prakash Singh and Gayadhar Pradhan
- Individual differences in escalation of commitment: a multi-level adaptive learning perspective pp. 1-23

- Kin Fai Ellick Wong, Jessica Y. Y. Kwong and Michelle Yik
- Traffic management systems: a survey of current solutions and emerging technologies pp. 1-24

- Wael Etaiwi and Sahar Idwan
- Exploring beyond detection: a review on fake news prevention and mitigation techniques pp. 1-38

- Dorsaf Sallami and Esma Aïmeur
- Flood of techniques and drought of theories: emotion mining in disasters pp. 1-14

- Soheil Shapouri, Saber Soleymani and Saed Rezayi
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