Journal of Computational Social Science
2018 - 2025
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 6, issue 2, 2023
- Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19 pp. 411-441

- Narendranath Sukhavasi, Janardan Misra, Vikrant Kaulgud and Sanjay Podder
- COCO: an annotated Twitter dataset of COVID-19 conspiracy theories pp. 443-484

- Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips and Konstantin Pogorelov
- Framing climate change in Nature and Science editorials: applications of supervised and unsupervised text categorization pp. 485-513

- Manfred Stede, Yannic Bracke, Luka Borec, Neele Charlotte Kinkel and Maria Skeppstedt
- Incorporating machine learning in dispute resolution and settlement process for financial fraud pp. 515-539

- Mark E. Lokanan
- Perception of COVID-19 vaccination among Indian Twitter users: computational approach pp. 541-560

- Prateeksha Dawn Davidson, Thanujah Muniandy and Dhivya Karmegam
- Computational approach to studying media coverage of organizations pp. 561-587

- Hyunsun Kim-Hahm
- Predicting perceived ethnicity with data on personal names in Russia pp. 589-608

- Alexey Bessudnov, Denis Tarasov, Viacheslav Panasovets, Veronica Kostenko, Ivan Smirnov and Vladimir Uspenskiy
- Centre assessment grades in 2020: a natural experiment for investigating bias in teacher judgements pp. 609-653

- Louis Magowan
- Pulling through together: social media response trajectories in disaster-stricken communities pp. 655-706

- Danaja Maldeniya, Munmun Choudhury, David Garcia and Daniel M. Romero
- Grounding force-directed network layouts with latent space models pp. 707-739

- Felix Gaisbauer, Armin Pournaki, Sven Banisch and Eckehard Olbrich
- You are how (and where) you search? Comparative analysis of web search behavior using web tracking data pp. 741-756

- Aleksandra Urman and Mykola Makhortykh
- Predicting declining and growing occupations using supervised machine learning pp. 757-780

- Christelle Khalaf, Gilbert Michaud and G. Jason Jolley
- The impact of depression forums on illness narratives: a comprehensive NLP analysis of socialization in e-mental health communities pp. 781-802

- Domonkos Sik, Márton Rakovics, Jakab Buda and Renáta Németh
- What motivated mitigation policies? A network-based longitudinal analysis of state-level mitigation strategies pp. 803-815

- William Fries
- Detecting science-based health disinformation: a stylometric machine learning approach pp. 817-843

- Jason A. Williams, Ahmed Aleroud and Danielle Zimmerman
- Between news and history: identifying networked topics of collective attention on Wikipedia pp. 845-875

- Patrick Gildersleve, Renaud Lambiotte and Taha Yasseri
- Ethnic segregation and spatial patterns of attitudes: studying the link using register data and social simulation pp. 877-921

- Thomas Feliciani, Jochem Tolsma and Andreas Flache
- Multi-balanced redistricting pp. 923-941

- Daryl DeFord, Elliot Kimsey and Ryan Zerr
- The value of manual annotation in assessing trends of hate speech on social media: was antisemitism on the rise during the tumultuous weeks of Elon Musk’s Twitter takeover? pp. 943-971

- Gunther Jikeli and Katharina Soemer
- Temporal communication dynamics in the aftermath of large-scale upheavals: do digital footprints reveal a stage model? pp. 973-999

- Pablo M. Flores and Martin Hilbert
- Social media-based social–psychological community resilience analysis of five countries on COVID-19 pp. 1001-1032

- Jaber Valinejad, Zhen Guo, Jin-Hee Cho and Ing-Ray Chen
- Tweet topics on cancer among Indian Twitter users—computational approach using latent Dirichlet allocation topic modelling pp. 1033-1054

- Thilagavathi Ramamoorthy and Bagavandas Mappillairaju
- It’s my turn: empirical evidence of upstream indirect reciprocity in society through a quasi-experimental approach pp. 1055-1079

- Shinya Obayashi, Misato Inaba, Tetsushi Ohdaira and Toko Kiyonari
- Transfer learning for hate speech detection in social media pp. 1081-1101

- Lanqin Yuan, Tianyu Wang, Gabriela Ferraro, Hanna Suominen and Marian-Andrei Rizoiu
- Bridging the offline and online: 20 years of offline meeting data of the German-language Wikipedia pp. 1103-1124

- Nicole Schwitter
- Modeling economic migration on a global scale pp. 1125-1145

- Eva Dziadula, John O’Hare, Carl Colglazier, Marie C. Clay and Paul Brenner
- A high-dimensional approach to measuring online polarization pp. 1147-1178

- Samantha C. Phillips, Joshua Uyheng and Kathleen M. Carley
- Detecting multi-timescale consumption patterns from receipt data: a non-negative tensor factorization approach pp. 1179-1192

- Akira Matsui, Teruyoshi Kobayashi, Daisuke Moriwaki and Emilio Ferrara
- Parenting methods in relation to norm awareness, social success, and perspectives of family in adulthood pp. 1193-1214

- Kazuo Nishimura, Tadashi Yagi and Makoto Yano
- Japan’s monetary policy: a literature review and empirical assessment pp. 1215-1254

- Masahiko Shibamoto, Wataru Takahashi and Takashi Kamihigashi
Volume 6, issue 1, 2023
- Group-specific behavior change following terror attacks pp. 1-18

- Jonas L. Juul, Laura Alessandretti, Jesper Dammeyer, Ingo Zettler, Sune Lehmann and Joachim Mathiesen
- Enhanced sentiment analysis regarding COVID-19 news from global channels pp. 19-57

- Waseem Ahmad, Bang Wang, Philecia Martin, Minghua Xu and Han Xu
- Evaluating algorithmic homeless service allocation pp. 59-89

- Wenting Qi and Charalampos Chelmis
- A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis pp. 91-163

- Sandra Wankmüller
- Did the public attribute the Flint Water Crisis to racism as it was happening? Text analysis of Twitter data to examine causal attributions to racism during a public health crisis pp. 165-190

- Neslihan Bisgin, Halil Bisgin, Daniel Hummel, Jon Zelner and Belinda L. Needham
- Varieties of corona news: a cross-national study on the foundations of online misinformation production during the COVID-19 pandemic pp. 191-243

- Cantay Caliskan and Alaz Kilicaslan
- School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach pp. 245-287

- Hazal Colak Oz, Çiçek Güven and Gonzalo Nápoles
- A scoping review on the use of natural language processing in research on political polarization: trends and research prospects pp. 289-313

- Renáta Németh
- An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables pp. 315-337

- Md Amiruzzaman, Ye Zhao, Stefanie Amiruzzaman, Aryn C. Karpinski and Tsung Heng Wu
- Tracking moral divergence with DDR in presidential debates over 60 years pp. 339-357

- Mengyao Xu, Lingshu Hu and Glen T. Cameron
- Estimating time-series changes in social sentiment @Twitter in U.S. metropolises during the COVID-19 pandemic pp. 359-388

- Ryuichi Saito and Shinichiro Haruyama
- User behaviors in consumer-generated media under monetary reward schemes pp. 389-409

- Yutaro Usui, Fujio Toriumi and Toshiharu Sugawara
Volume 5, issue 2, 2022
- Applying unsupervised machine learning to counterterrorism pp. 1099-1128

- Raj Bridgelall
- Posters and protesters pp. 1129-1157

- Pedro Ramaciotti Morales, Jean-Philippe Cointet and Caterina Froio
- Two sides of the same leader: an agent-based model to analyze the effect of ambivalent opinion leaders in social networks pp. 1159-1205

- Daniel Röchert, Manuel Cargnino and German Neubaum
- Identification of intimate partner violence from free text descriptions in social media pp. 1207-1233

- Phan Trinh Ha, Rhea D’Silva, Ethan Chen, Mehmet Koyutürk and Günnur Karakurt
- Parliamentary debate as electoral signaling pp. 1235-1255

- Hiroyuki Kawakatsu
- VisualCommunity: a platform for archiving and studying communities pp. 1257-1279

- Suphanut Jamonnak, Deepshikha Bhati, Md Amiruzzaman, Ye Zhao, Xinyue Ye and Andrew Curtis
- Interpolation of non-random missing values in financial statements’ big data using CatBoost pp. 1281-1301

- Shouji Fujimoto, Takayuki Mizuno and Atushi Ishikawa
- Predicting the probability of finding missing older adults based on machine learning pp. 1303-1321

- Adriana L. Ruiz-Rizzo, Mario E. Archila-Meléndez and José John Fredy González Veloza
- Impact of maker-taker fees on stock exchange competition from an agent-based simulation pp. 1323-1342

- Mahiro Hoshino, Takanobu Mizuta, Yasuhiro Sudo and Isao Yagi
- Deep diving into the S&P Europe 350 index network and its reaction to COVID-19 pp. 1343-1408

- Ariana Paola Cortés Ángel and Mustafa Hakan Eratalay
- Comparative analysis of social bots and humans during the COVID-19 pandemic pp. 1409-1425

- Ho-Chun Herbert Chang and Emilio Ferrara
- Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting pp. 1427-1465

- Jake Lever and Rossella Arcucci
- Prediction of juvenile crime in Bangladesh due to drug addiction using machine learning and explainable AI techniques pp. 1467-1487

- Meherun Nesa, Tumpa Rani Shaha and Young Yoon
- From academia to policy makers: a methodology for real-time forecasting of infrequent events pp. 1489-1510

- Alfred Krzywicki, David Muchlinski, Benjamin E. Goldsmith and Arcot Sowmya
- Botometer 101: social bot practicum for computational social scientists pp. 1511-1528

- Kai-Cheng Yang, Emilio Ferrara and Filippo Menczer
- Strategic sentiments and emotions in post-Second World War party manifestos in Finland pp. 1529-1554

- Juha Koljonen, Emily Öhman, Pertti Ahonen and Mikko Mattila
- Text-based automatic personality prediction: a bibliographic review pp. 1555-1593

- Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar and Zoleikha Jahanbakhsh-Naghadeh
- Analyzing user engagement in news application considering popularity diversity and content diversity pp. 1595-1614

- Atom Sonoda, Yoshifumi Seki and Fujio Toriumi
- Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021 pp. 1615-1636

- Stijn Daenekindt and Julian Schaap
- Dynamic simulation of social media challenge participation to examine intervention strategies pp. 1637-1662

- Amro Khasawneh, Kapil Chalil Madathil, Kevin M. Taaffe, Heidi Zinzow, Amal Ponathil, Sreenath Chalil Madathil, Siddhartha Nambiar, Gaurav Nanda and Patrick J. Rosopa
- Lingual markers for automating personality profiling: background and road ahead pp. 1663-1707

- Mohmad Azhar Teli and Manzoor Ahmad Chachoo
- Linguistic, cultural, and narrative capital: computational and human readings of transfer admissions essays pp. 1709-1734

- Alvero Aj, Jasmine Pal and Katelyn M. Moussavian
- The gameability of redistricting criteria pp. 1735-1777

- Amariah Becker and Dara Gold
- Correction to: Social influence and unfollowing accelerate the emergence of echo chambers pp. 1779-1779

- Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini and Filippo Menczer
Volume 5, issue 1, 2022
- #Election2020: the first public Twitter dataset on the 2020 US Presidential election pp. 1-18

- Emily Chen, Ashok Deb and Emilio Ferrara
- How does “A Bit of Everything American” state feel about COVID-19? A quantitative Twitter analysis of the pandemic in Ohio pp. 19-45

- Cantay Caliskan
- Network diffusion of competing behaviors pp. 47-68

- Yuan Hsiao
- A network view on reliability: using machine learning to understand how we assess news websites pp. 69-88

- Tobias Blanke and Tommaso Venturini
- Pursuing open-source development of predictive algorithms: the case of criminal sentencing algorithms pp. 89-109

- Philip D. Waggoner and Alec Macmillen
- Controversial information spreads faster and further than non-controversial information in Reddit pp. 111-122

- Jasser Jasser, Ivan Garibay, Steve Scheinert and Alexander V. Mantzaris
- Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation pp. 123-159

- Danielle Caled and Mário J. Silva
- The “flat peer learning” agent-based model pp. 161-187

- Philippe Collard
- Colorado in context: Congressional redistricting and competing fairness criteria in Colorado pp. 189-226

- Jeanne Clelland, Haley Colgate, Daryl DeFord, Beth Malmskog and Flavia Sancier-Barbosa
- Measuring spatio-textual affinities in twitter between two urban metropolises pp. 227-252

- Minda Hu and Mayank Kejriwal
- Analyzing Twitter networks using graph embeddings: an application to the British case pp. 253-263

- Miguel Won and Jorge M. Fernandes
- An open software environment to make spatial access metrics more accessible pp. 265-284

- James Saxon, Julia Koschinsky, Karina Acosta, Vidal Anguiano, Luc Anselin and Sergio Rey
- Users roles identification on online crowdsourced Q&A platforms and encyclopedias: a survey pp. 285-317

- Akrati Saxena and Harita Reddy
- Battle of positioning: exploring the role of bridges in competitive diffusion pp. 319-350

- Jie Gu and Yunjie Xu
- An analysis of US domestic migration via subset-stable measures of administrative data pp. 351-382

- Ben Klemens
- Mitigation strategies against cascading failures within a project activity network pp. 383-400

- Christos Ellinas, Christos Nicolaides and Naoki Masuda
- Computational courtship understanding the evolution of online dating through large-scale data analysis pp. 401-426

- Rachel Dinh, Patrick Gildersleve, Chris Blex and Taha Yasseri
- Using word embeddings to probe sentiment associations of politically loaded terms in news and opinion articles from news media outlets pp. 427-448

- David Rozado and Musa al-Gharbi
- Graphical metrics for analyzing district maps pp. 449-475

- Matthew P. Dube, Jesse T. Clark and Richard J. Powell
- Operation gridlock: opposite sides, opposite strategies pp. 477-501

- Matthew Babcock and Kathleen M. Carley
- Predicting applicable law sections from judicial case reports using legislative text analysis with machine learning pp. 503-516

- Souvik Sengupta and Vishwang Dave
- Automation impacts on China’s polarized job market pp. 517-535

- Haohui Caron Chen, Xun Li, Morgan Frank, Xiaozhen Qin, Weipan Xu, Manuel Cebrian and Iyad Rahwan
- Simulating language knowledge across the EU: language regimes, language learning and consequences for linguistic disenfranchisement pp. 537-563

- Marco Civico
- Groups' contribution to shaping ethnic residential segregation: a dynamic approach pp. 565-589

- Eduardo Tapia
- Characterizing the roles of bots on Twitter during the COVID-19 infodemic pp. 591-609

- Wentao Xu and Kazutoshi Sasahara
- Predicting job-hopping motive of candidates using answers to open-ended interview questions pp. 611-628

- Madhura Jayaratne and Buddhi Jayatilleke
- The simple regularities in the dynamics of online news impact pp. 629-646

- Matúš Medo, Manuel S. Mariani and Linyuan Lü
- Geographies of Twitter debates pp. 647-663

- Emiliano Gobbo, Lara Fontanella, Sara Fontanella and Annalina Sarra
- Early warning signals from the periphery pp. 665-685

- Manfred Füllsack, Daniel Reisinger, Marie Kapeller and Georg Jäger
- A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic pp. 687-729

- Charalampos Ntompras, George Drosatos and Eleni Kaldoudi
- Analyzing user-generated content using natural language processing: a case study of public satisfaction with healthcare systems pp. 731-749

- Anna Ruelens
- What race and gender stand for: using Markov blankets to identify constitutive and mediating relationships pp. 751-779

- Rafael Quintana
- How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation pp. 781-809

- Umar Ali Bukar, Marzanah A. Jabar, Fatimah Sidi, Binti Nor Rnh, Salfarina Abdullah and Iskandar Ishak
- Determining political interests of issue-motivated groups on social media: joint topic models for issues, sentiment and stance pp. 811-840

- Sandeepa Kannangara and Wayne Wobcke
- Community membership consistency applied to corporate board interlock networks pp. 841-860

- Dafne E. van Kuppevelt, Rena Bakhshi, Eelke M. Heemskerk and Frank W. Takes
- OCR with Tesseract, Amazon Textract, and Google Document AI: a benchmarking experiment pp. 861-882

- Thomas Hegghammer
- An inclusive, real-world investigation of persuasion in language and verbal behavior pp. 883-903

- Vivian P. Ta, Ryan L. Boyd, Sarah Seraj, Anne Keller, Caroline Griffith, Alexia Loggarakis and Lael Medema
- How he won: Using machine learning to understand Trump’s 2016 victory pp. 905-947

- Zhaochen He, John Camobreco and Keith Perkins
- News loopholing: Telegram news as portable alternative media pp. 949-968

- Ahmed Al-Rawi
- The global migration network of sex-workers pp. 969-985

- Luis Rocha, Petter Holme and Claudio D G Linhares
- Exploring the political pulse of a country using data science tools pp. 987-1000

- Miguel G. Folgado and Veronica Sanz
- Fooled by facts: quantifying anchoring bias through a large-scale experiment pp. 1001-1021

- Taha Yasseri and Jannie Reher
- Social media and suicide in social movements: a case study in Hong Kong pp. 1023-1040

- Paul S. F. Yip and Edward Pinkney
- Moderators of reputation effects in peer-to-peer online markets: a meta-analytic model selection approach pp. 1041-1067

- Ruohuang Jiao, Wojtek Przepiorka and Vincent Buskens
- Extracting multiple layers of social networks through a 7-month survey using a wearable device: a case study from a farming community in Japan pp. 1069-1094

- Masashi Komori, Kosuke Takemura, Yukihisa Minoura, Atsuhiko Uchida, Rino Iida, Aya Seike and Yukiko Uchida
- Correction to: Characterizing the roles of bots on Twitter during the COVID‑19 infodemic pp. 1095-1095

- Wentao Xu and Kazutoshi Sasahara
- Correction to: Mitigation strategies against cascading failures within a project activity network pp. 1097-1098

- Christos Ellinas, Christos Nicolaides and Naoki Masuda
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