Social Computing Lab, led by Jana Diesner
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Google Scholar page: Jana Diesner

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Peer Reviewed Journal Papers

  1. Dinh, L., Sarol, J.M., Jeoung, S., & Diesner, J. (2023): Are we projecting gender biases to ungendered things? Differences in referring to female versus male named hurricanes in 33 years of news coverage. Computational Communication Research. doi: 10.5117/CCR2023.1.006.DINH
  2. Hu, Y., LeBlanc, Z., Diesner, J., Underwood, T., Layne-Worthey, G., Downie, J.S. (2023). Complexities of Leveraging User-generated Book Reviews for Scholarly Research: Transiency, Cultural Dependencies, and Power Dynamics. International Journal on Digital Libraries. doi: 10.1007/s00799-023-00376-z
  3. Dinh, L., Rezapour, R., Jiang, L., & Diesner, J. (2023). Enhancing Structural Balance to Analyze Signed Digraphs of Real-world Organizational Networks. Frontiers in Human Dynamics, section Social Networks. doi: 10.3389/fhumd.2022.1028393
  4. Han, K., Rezapour, R., Nakamura, K., Devkota, D., Miller, D., & Diesner, J. (2022). An Expert-in-the-Loop Method for Domain-Specific Document Categorization Based on Small Annotated Data. Journal of the Association for Information Science and Technology (JASIS&T), Early View. doi: 10.1002/asi.24714 [pdf]
  5. Aref, S.*, Dinh, L.*, Rezapour, R.*, & Diesner, J. (2020). Multilevel structural evaluation of signed directed social networks based on balance theory. Scientific Reports 10, 15228. doi: 10.1038/s41598-020-71838-6 (*Authors contributed equally)
  6. Parulian, N., Lu, T., Mishra, S., Avram, M., & Diesner, J. (2020). Effectiveness of the execution and prevention of metric-based adversarial attacks on social network data. Information, 11(6), 306. doi: 10.3390/info11060306 [pdf]
  7. Hilbert, M., Barnett, G., Blumenstock, J., Contractor, N., Diesner, J., Frey, S., Gonzales-Bailon, S., Lambderson, P.J., Pan, J., Peng, T.-Q., Shen, C., Smaldino, P.E., van Atteveldt, W., Waldherr, A., Zhan, J., Zhu, J.J.H. (2019). Computational communication science: A methodological catalyzer for a maturing discipline. International Journal of Communication, 13(2019), 3912-3934. Available at https://ijoc.org/index.php/ijoc/article/view/10675 [pdf]
  8. Kim, J., & Diesner, J. (2019). Formational bounds of link prediction in collaboration networks. Scientometrics. doi: 10.1007/s11192-019-03055-6 [pdf]
  9. Mishra, S., Fegley, B.D., Diesner, J., & Torvik, V.I. (2018). Self-citation is the hallmark of productive authors, of any gender. PLoS ONE, 13(9): e0195773. doi: 10.1371/journal.pone.0195773 [pdf]
  10. Abdelzaher T., Ayanian N., Basar T., Diesner J., Diggavi S., Ganesan D., Govindan R., Jha S., Lepoint T., Marlin B., Nahrstedt K., Nicol D., Rajkumar R., Russell S., Seshia S., Sha F., Shenoy P., Srivastava M., Sukhatme G., Swami A., Tabuada P., Towsley D., Vaidya N., & Veeravalli V. (2018). Toward an Internet of Battlefield Things: A resilience perspective. IEEE Computer 51(11), 24-36. doi: 10.1109/MC.2018.2876048
  11. Kim, J., Diesner, J. (2017). Over-time measurement of triadic closure in coauthorship networks. Social Network Analysis and Mining (SNAM), 7(9). doi: 10.1007/s13278-017-0428-3
  12. Kim, J., Diesner, J. (2016). Distortive effects of initial-based name disambiguation on measurements of large-scale coauthorship networks. Journal of the Association for Information Science and Technology (JASIST), 67(6), 1446-1461. doi: 10.1002/asi.23489
  13. Kim, J., Tao L., Lee, S.H., & Diesner, J. (2016). Evolution and structure of scientific co-publishing network in Korea during 1948-2011. Scientometrics, 107(1), 27-41. doi: 10.1007/s11192-016-1878-5
  14. Diesner, J. (2015) Small decisions with big impact on data analytics. Big Data & Society, special issue on Assumptions of Sociality, 2(2). doi: 10.1177/2053951715617185 (invited paper) [pdf]
  15. Kim, J., & Diesner, J. (2015). The effect of data pre-processing on understanding the evolution of collaboration networks. Journal of Informetrics, 9(1), 226-236. doi: 10.1016/j.joi.2015.01.002
  16. Kim, J., & Diesner, J. (2015). Coauthorship networks: A directed network approach considering the order and number of coauthors. Journal of the Association for Information Science and Technology (JASIS&T), 66(12), 2685-2696. doi: 10.1002/asi.23361
  17. Diesner, J., Kim, J., & Pak, S. (2014). Computational impact assessment of social justice documentaries. Journal of Electronic Publishing (JEP), special issue Metrics for Measuring Publishing Value: Alternative and Otherwise, 17(3). doi: 10.3998/3336451.0017.306 (invited paper) [pdf]
  18. Kim, J., Kim, H., & Diesner, J. (2014). The impact of name ambiguity on coauthorship network measurements. Journal of Information Science Theory and Practice, 2(2), 6-15. doi: 10.1633/JISTaP.2014.2.2.1 [pdf]
  19. Kim, J., & Diesner, J. (2014). A Network-based approach to coauthorship credit allocation. Scientometrics, 101(1), 587-602. doi: 10.1007/s11192-014-1253-3
  20. Diesner, J. (2013). From Texts to Networks: Detecting and managing the impact of methodological choices for extracting network data from text data. Kuenstliche Intelligenz Journal (Artificial Intelligence), 27(1), 75-78. doi: 10.1007/s13218-012-0225-0 (invited paper)
  21. van Holt, T., Johnson, J.C., Carley, K.M., Brinkley, J., & Diesner, J. (2013). Rapid ethnographic assessment for cultural mapping. Poetics, 41(4), 366-383. doi: 10.1016/j.poetic.2013.05.004
  22. Diesner, J., Carley, K.M., & Tambayong, L. (2012). Mapping socio-cultural networks of Sudan from open-source, large-scale text data. Computational and Mathematical Organization Theory, 18(3), 328-339. doi: 10.1007/s10588-012-9126-x
  23. Chang Y., Diesner, J., & Carley, K.M. (2012). Towards automated definition acquisition from operations law. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(2), 223-232. doi: 10.1109/TSMCC.2011.2110643
  24. Dabbish, L., Towne, B., Diesner, J., & Herbsleb, J. (2011). Construction of association networks from communication in teams working on complex projects. Statistical Analysis and Data Mining (SAM), Special Issue: Networks, 4(5), 547-563. doi: 10.1002/sam.10135 [pdf]
  25. Diesner, J., & Carley, K.M. (2008). Conditional random fields for entity extraction and ontological text coding. Computational and Mathematical Organization Theory, 14(3), 248-262. doi: 10.1007/s10588-008-9029-z
  26. Carley, K.M., Diesner, J., Reminga, J., & Tsvetovat, M. (2007). Toward an interoperable dynamic network analysis toolkit. Decision Support Systems (DSS), Special Issue: Cyberinfrastructure for Homeland Security: Advances in Information Sharing, Data Mining, and Collaboration Systems, 43(4), 1324-1347. doi: 10.1016/j.dss.2006.04.003
  27. Diesner, J., Frantz, T., & Carley, K.M. (2005). Communication networks from the Enron email corpus “It's always about the people Enron is no different”. Computational and Mathematical Organization Theory, 11(3), 201-228. doi: 10.1007/s10588-005-5377-0
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Peer Reviewed Conferences (full papers unless noted otherwise)

  1. Ge, Y., Jeoung, S., Dinh, L., & Diesner, J. (2024). Detection and Mitigation of the Negative Impact of Dataset Extractivity on Abstractive Summarization. Findings of ACL, Association for Computational Linguistics. [pdf]
  2. Ge, Y., Xiao, Z., Diesner, J., Ji, H., Karahalios, K., & Sundaram, H. (2023). What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys. In Proceedings of 37th Pacific Asia Conference on Language, Information and Computation (PACLIC), Hong Kong.
  3. Rezapour, R., Ramos, D., Jeoung, S., & Diesner, J. (2023). Moving Beyond Stance Detection in Cross-cutting Communication Analysis. 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Pittsburgh, PA.
  4. Mishra, A., Diesner, J., & Torvik, V. (2023). A probabilistic model of ‘Hype’ in scientific abstracts. International Society of Scientometrics and Informetrics Conference 2023 (ISSI), Bloomington, IN. [abstract]
  5. Hu, Y., Layne-Worthey, G., Martaus, E., Stephen, J.S., & Diesner, J. (2023). Research with User-Generated Book Review Data: Legal and Ethical Pitfalls and Contextualized Mitigation, iConference, Barcelona, Spain. *Best Paper Award [pdf]
  6. Dinh, L., Kulkarni, S., Yang, P., & Diesner, J. (2022). Reliability of Methods for Extracting Collaboration Networks from Crisis-related Situational Reports and Tweets. Proceedings of Information Systems for Crisis Response and Management (ISCRAM).
  7. Hu, Y., LeBlanc, Z., Diesner, J., Underwood, T., Layne-Worthey, G., & Downie, J.S. (2022). Complexities Associated with User-generated Book Reviews in Digital Libraries: Temporal, Cultural, and Political Case Studies. Proceedings of ACM Joint Conference on Digital Libraries (JDCL). [pdf]
  8. Rezapour, S., Dinh, L., & Diesner, J. (2021). Incorporating the Measurement of Moral Foundations Theory in Analyzing Stances on Controversial Topics. Proceedings of 32nd ACM Conference on Hypertext and Social Media (HT) (held online). [pdf]
  9. Yubin, G., Dinh, L., Liu, X., Su, J., Lu, Z., Wang, A., & Diesner, J. (2021). BACO: A Background Knowledge- and Content-based Framework for Citing Sentence Generation. Proceedings of Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) (held online). [pdf]
  10. Sarol, J., Dinh, L., and Diesner, J. (2021). Variation in Situational Awareness Information due to Selection of Data Source, Summarization Method, and Method Implementation. Proceedings of International AAAI Conference on Web and Social Media (ICWSM) (held online). [pdf]
  11. Sarol, J., Dinh, L., Rezapour, R., Chin, C., Yang, P., & Diesner, J. (2020). An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events. In Findings of ACL: Conference on Empirical Methods in Natural Language (EMNLP2020) (held online). doi: 10.18653/v1/2020.findings-emnlp.366 [pdf]
  12. Jiang, L., Dinh, L., Rezapour, R., & Diesner, J. (2020). Which groups do you belong to? Sentiment-based PageRank to measure formal and informal influence in social networks. Proceedings of 9th International Conference on Complex Networks and their Applications (COMPLEX NETWORKS) (held online). doi: 10.1007/978-3-030-65351-4_50 [pdf]
  13. Rezapour, R., Diesner, J., Bopp, J., Fiedler, N., Steffen, D., Witt A. (2020). Beyond citation: corpus-based methods for assessing the impact of research outcomes on society. Proceedings of 12th International Conference on Language Resources and Evaluation (LREC). Marseille, France. [pdf]
  14. Jiang, M., Huang, Q., Wang, X., Zhang, L., Zhang, P., Gan, Z., Diesner, J., Gao, J. (2019). TIGEr: Text-to-Image Grounding for image caption Evaluation. Proceedings of Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong. doi: 10.18653/v1/D19-1220 [pdf]
  15. Jiang, M., Hu, J., Huang. Q., Zhang, L., Diesner, J., Gao, J. (2019). REO-Relevance, Extraness, Omission: A fine-grained evaluation for image captioning. Proceedings of Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong. doi: 10.18653/v1/D19-1156 [pdf]
  16. Rezapour, R., Ferronato, P., & Diesner, J. (2019). How do moral values differ in tweets on social movements? Poster in Proceedings of 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Austin, Texas. doi: 10.1145/3311957.3359496 [pdf]
  17. Addawood, A., Balakumar, P., Diesner, J. (2019). Categorization and comparison of influential Twitter users and sources referenced in tweets for two health-related topics. iConference. Washington, DC. doi: 10.1007/978-3-030-15742-5_60 [pdf]
  18. Addawood, A., Alshamrani, A., Alqahtani, A., Diesner, J., & Broniatowski, D. (2018). Women's driving in Saudi Arabia – Analyzing the discussion of a controversial topic on Twitter. Short paper in International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2018), Washington, DC. [pdf]
  19. Abdelzaher, T., Ayanian, N., Basar, T., Diggavi, S., Diesner, J., Ganesan, D., Govindan, R., Jha, S., Lepoint, T., Marlin, B., Nahrstedt, K., Nicol, D., Rajkumar, R., Russell, S., Seshia, S., Sha, F., Shenoy, P., Srivastava, M., Saukhatme, G., Swami, A., Tabuada, P., Towsley, D., Vaidya, N., & Veeravalli, V. (2018). Will distributed computing revolutionize peace? The emergence of battlefield IoT. Proceedings of 38th IEEE International Conference on Distributed Computing (ICDCS 2018), Vienna, Austria. doi: 10.1109/ICDCS.2018.00112
  20. Mishra, S., & Diesner J. (2018). Detecting the correlation between sentiment and user-level and text-level meta-data from benchmark corpora. Proceedings of 29th ACM Conference on Hypertext and Social Media (HT’18), Baltimore, MD. doi: 10.1145/3209542.3209562 [pdf]
  21. Rezapour, R., & Diesner, J. (2017). Classification and detection of micro-level impact of issue-focused films based on reviews. Proceedings of 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), (pp. 1419-1431), Portland, OR. doi: 10.1145/2998181.2998201 [pdf]
  22. Rezapour, R., Wang, L., Abdar, O., & Diesner, J. (2017). Identifying the overlap between election result and candidates’ ranking based on hashtag-enhanced, lexicon-based sentiment analysis. Proceedings of IEEE 11th International Conference on Semantic Computing (ICSC), (pp. 93-96), San Diego, CA. doi: 10.1109/ICSC.2017.92 [pdf]
  23. Jiang, M., & Diesner, J. (2016). Says Who...? Identification of critic versus layman reviews of documentary films. Proceedings of 26th International Conference on Computational Linguistics (COLING), (pp. 2122-2132), Osaka, Japan. [pdf]
  24. Jiang, M., & Diesner, J. (2016). Issue-focused documentaries versus other films: rating and type prediction based on user-authored reviews. Proceedings of ACM Hypertext and Social Media, (pp. 225- 230), Halifax, Canada. doi: 10.1145/2914586.2914638 [pdf]
  25. Diesner, J., Rezapour, R., & Jiang, M. (2016). Assessing public awareness of social justice documentary films based on news coverage versus social media. iConference. Philadelphia, USA. doi: 10.9776/16305 [pdf]
  26. Diesner, J., & Evans, C. (2015). Little bad concerns: Using sentiment analysis to assess structural balance in communication networks. Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Paris, France. doi: 10.1145/2808797.2809403
  27. Mishra, S., & Diesner J. (2015). Sentiment analysis with incremental human-in-the-loop learning and lexical resource customization. Proceedings of ACM Hypertext and Social Media, (pp. 323-325), Cyprus. doi: 10.1145/2700171.2791022 [pdf]
  28. Diesner, J., & Rezapour, R. (2015). Social computing for impact assessment of social change projects. In International Conference on Social Computing, Behavioral Modeling and Prediction (SBP 2015). Washington, DC. doi: 10.1007/978-3-319-16268-3_4 [pdf]
  29. Al-Sabbagh, R., Girju, R., & Diesner, J. (2015). A unified framework to identify and extract uncertainty cues, holders, and scopes in one fell-swoop. In: A. Gelbukh (Ed.) In International Conference on Intelligent Text Processing and Computational Linguistics, (pp. 310-334). Springer, Cham. doi: 10.1007/978-3-319-18111-0_24
  30. Diesner, J., Evans, C., & Kim, J. (2015). Impact of entity disambiguation errors on social network properties. Proceedings of International AAAI Conference on Web and Social Media (ICWSM), Oxford, UK. [pdf]
  31. Mishra, S., Phelps, K., Agarwal, S., Picco, J., Guo, J., & Diesner, J. (2014). Enthusiasm and support: Alternative sentiment classification for social movements on social media. ACM Conference on Web Science. Bloomington, IN. doi: 10.1145/2615569.2615667 [pdf]
  32. Counts, S., De Choudhury, M., Diesner, J., Gilbert, E., Gonzalez, M., Keegan, B., Naaman, M., & Wallach, H. (2014). Computational social science: CSCW in the social media era. Proceedings of 17th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW), (pp. 105- 108). Baltimore, MD. doi: 10.1145/2556420.2556849
  33. Diesner, J., Pak, S., Kim, J., Soltani, K., & Aleyasen, A. (2014). Computational assessment of the impact of social justice documentaries. iConference, Berlin, Germany. doi: 10.9776/14125 [pdf]
  34. Al-Sabbagh, R., Girju, R., & Diesner, J. (2014). 3arif: A corpus of modern standard and Egyptian Arabic tweets annotated for epistemic modality using interactive crowdsourcing. Proceedings of 25th Conference on Computational Linguistics (COLING 2014), (pp. 1521-1532). Dublin, Ireland. [pdf]
  35. Al-Sabbagh, R., Diesner, J., & Girju, R. (2013). Using the semantic-syntactic interface for reliable Arabic modality annotation. Proceedings of 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), (pp. 410-418). Nagoya, Japan. [pdf]
  36. Efron, M., Diesner, J., Organisciak, P., Sherman, G., & Lucic, A. (2012). The University of Illinois' Graduate School of Library and Information Science at TREC 2012. Proceedings of Text REtrieval Conference (TREC). Gaithersburg, ML.
  37. Diesner, J., & Carley, K.M. (2009). He says, she says. Pat says, Tricia says. How much reference resolution matters for entity extraction, relation extraction, and social network analysis? Proceedings of IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), (pp. 1- 8). Ottawa, Canada, July 2009. doi: 10.1109/CISDA.2009.5356530
  38. Landwehr, P., Diesner, J., & Carley, K.M. (2009). Words of Warcraft: a relational text analysis of quests in an MMORPG. Proceedings of Digital Games Research Association Conference (DiGRA). London, UK, September 2009. [pdf]
  39. Diesner, J., & Carley, K.M. (2007). Conditional random fields for entity extraction and ontological text coding. North American Association for Computational Social and Organizational Science Conference (NAACSOS), Atlanta, GA , July 2007. doi: 10.1007/s10588-008-9029-z *Best Student Paper Award
  40. Lecy, J., Diesner, J., & Carley, K.M. (2006). Identification of knowledge groups from the Enron Email corpus. Proceedings of 56th Annual Conference of International Communication Association (ICA). Dresden, Germany, June 2006. [abstract]
  41. Diesner, J., Kumaraguru, P., & Carley, K.M. (2005). Mental models of data privacy and security extracted from interviews with Indians Proceedings of 55th Annual Conference of International Communication Association (ICA), New York, NY, May 2005. [abstract]
  42. Diesner, J., Carley, K.M. (2004). Using network text analysis to detect the organizational structure of covert networks. Proceedings of North American Association for Computational Social and Organizational Science Conference (NAACSOS). Pittsburgh, PA, July 2004.
  43. Carley, K.M., Diesner, J., Reminga, J., & Tsvetovat, M. (2004). An integrated approach to the collection and analysis of network data. Proceedings of North American Association for Computational Social and Organizational Science Conference (NAACSOS). Pittsburgh, PA, July 2004.
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Peer Reviewed Workshops/ Symposiums (full and short papers unless noted otherwise)

  1. Jeoung, S., Kilicoglu, H., & Diesner, J. (2023). Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning. In Proceedings of 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP) at Annual Conference of the Association for Computational Linguistics (ACL), Toronto, Canada. *Best Paper Award [pdf]
  2. Jeoung, S., & Diesner, J. (2022). What changed? Investigating debiasing methods using causal mediation analysis. In Proceedings of 4th Workshop on Gender Bias for Natural Language Processing, at Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Seattle, USA. [pdf]
  3. Han, K., Rezapour, R., Nakamura, K.S., Devkota, D., Miller, D.C., & Diesner, J. (2020). Domain-knowledge-based classification of biodiversity conservation actions based on project reports. In Proceedings of METRICS 2020: Workshop on Informetrics and Scientometrics Research, at Association for Information Science & Technology (ASIS&T) (held online). [pdf]
  4. Han, K., Yang, P., Mishra, S., & Diesner, J. (2020). WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia. In Proceedings of Scientific Knowledge Graphs Workshop co-located with 24th International Conference on Theory and Practice of Digital Libraries (TPDL) (held online).
  5. Jiang M., & Diesner, J. (2019). A constituency parsing tree based method for relation extraction from abstracts of scholarly publications. In Proceedings of 13th Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13) at Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong. doi: 10.18653/v1/D19-5323 [pdf]
  6. Mishra, S., & Diesner, J. (2019). Capturing signals of enthusiasm and support towards social issues from Twitter. In Proceedings of 5th International Workshop on Social Media World Sensors (SIdEWayS’19) at ACM Hypertext, Hof, Germany. doi: 10.1145/3345645.3351104 [pdf]
  7. Avram, M. V., Mishra, S., Parulian, N. N., & Diesner, J. (2019). Adversarial perturbations to manipulate the perception of power and influence in networks. In Proceedings of Workshop on Social Influence at International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Vancouver, BC, Canada. doi: 10.1145/3341161.3345026 [pdf]
  8. Rezapour R., Shah S., & Diesner J. (2019) Enhancing the measurement of social effects by capturing morality. Proceedings of the 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA). Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Minneapolis, MN. [pdf]
  9. Mishra, S., Fegley, B.D., Diesner, J., & Torvik, V. (2018). Expertise as an aspect of author contributions. In METRICS 2018: Workshop on Informetrics and Scientometrics Research, at Association for Information Science & Technology (ASIS&T), Vancouver, Canada. [pdf] *Best Student Paper Award
  10. Witt, A., Bopp, J., Fiedler, N., Steffen, D., Diesner, J., Rezapour, R., Raster, M., Wockenfuß, J., Köller, C. (2018). Impact of research for the non-academic community: A new classification scheme. Proceedings of the 1st Workshop on Computational Impact Detection from Text Data, 11th Language Resources and Evaluation Conference (LREC 2018), Miyazaki, Japan. [pdf]
  11. Rai, A., Minsker, B., Diesner, J., Karahalios, K., & Sun, Y. (2018). Identification of landscape preferences by using social media analysis. Proceedings of the 3rd International Workshop on Social Sensing, ACM/IEEE International Conference on Internet of Things Design and Implementation 2018 (IoTDI 2018), Orlando, FL. doi: 10.1109/SocialSens.2018.00021
  12. Addawood, A., Rezapour, R., Abdar, O., & Diesner, J. (2017). Telling apart tweets associated with controversial versus non-controversial topics. Proceedings of 2nd Workshop on NLP and Computational Social Science (NLP+CSS) at 55th Annual Meeting of the Association for Computational Linguistics (ACL) (pp. 32-41). Vancouver, Canada. [pdf]
  13. Mishra, S., & Diesner, J. (2016). Semi-supervised named entity recognition in noisy-text. 2nd Workshop on Noisy User-generated Text (W-NUT) at 26th International Conference on Computational Linguistics (COLING), Osaka, Japan. [pdf]
  14. Diesner, J., & Chin, C. (2016). Seeing the forest for the trees: Understanding and implementing regulations for the collection and analysis of human centered data. Human-Centered Data Science (HCDS) Workshop at 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2016), San Francisco, CA. [pdf]
  15. Diesner, J., & Chin, C. (2016). Gratis, libre, or something else? Regulations and misassumptions related to working with publicly available text data. ETHI-CA² Workshop (ETHics In Corpus Collection, Annotation & Application) at 10th Language Resources and Evaluation Conference (LREC), Portoroz, Slovenia. [pdf]
  16. Diesner, J., & Chin, C. (2015). Usable Ethics: Practical considerations for responsibly conducting research with social trace data. Workshop: Beyond IRBs: Ethical Review Processes for Big Data Research, Future of Privacy Forum, Washington DC. [pdf]
  17. Kim, J., Aleyasen, A., Kim, H., Kim, H.M., & Diesner, J. (2014). Why name ambiguity resolution matters for scholarly big data research. International Workshop on Challenges & Issues on Scholarly Big Data Discovery and Collaboration, IEEE BigData, Washington DC. doi: 10.1109/BigData.2014.7004345.
  18. Diesner, J., Aleyasen, A., Mishra, S., Schecter, A., & Contractor N.S. (2014). Comparison of communication networks built from explicit and implicit data. Computational Approaches to Social Modeling (ChASM 2014), ACM WebScience Conference, Bloomington, IN.
  19. Al-Sabbagh, R., Girju, R., & Diesner, J. (2014). Interactive annotation for event modality in modern standard and Egyptian Arabic tweets. 8th Linguistic Annotation Workshop (LAW VIII 2014), 25th Conference on Computational Linguistics (COLING 2014), (pp. 139-148), Dublin, Ireland. [pdf]
  20. Al-Sabbagh, R., Girju, R., & Diesner, J. (2014). Unsupervised construction of a lexicon and a pattern repository of arabic modal multiword expressions. Proceeding of the 10th Workshop on Multiword Expressions (MWE 2014), 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), (pp. 114-123), Gothenburg, Sweden. [pdf]
  21. Diesner, J., & Carley, K.M. (2012). Impact of relation extraction methods from text data on network data and analysis results. Short paper at Words and Networks Workshop (WON), ACM Web Science Conference, Evanston, IL. [pdf]
  22. Ahmed, S., & Diesner, J. (2012). Information network analysis to understand the evolution of online social networking sites in the context of India, Pakistan, and Bangladesh. Short paper at Words and Networks Workshop (WON), ACM Web Science Conference, Evanston, IL. [pdf]
  23. Diesner, J., & Carley, K.M. (2010). A methodology for integrating network theory and topic modeling and its application to innovation diffusion. Workshop on Finding Synergies Between Texts and Networks, IEEE International Conference on Social Computing, (pp. 687-692), Minneapolis, MN. doi: 10.1109/SocialCom.2010.106. *Best Workshop Paper Award
  24. Diesner, J., & Carley, K.M. (2005). Exploration of communication networks from the Enron Email corpus. Workshop on Link Analysis, Counterterrorism and Security, Society for Industrial and Applied Mathematics (SIAM) International Conference on Data Mining, (pp. 3-14), Newport Beach, CA. [pdf]
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Extended Abstracts

  1. Han, K., Rezapour, R., Nakamura, K., Devkota, D., Miller, D., & Diesner, J. (2022). An Expert-in-the-Loop Method for Domain-Specific Document Categorization Based on Small Annotated Data. Presentation at 8th Annual International Conference on Computational Social Science (IC2S2).
  2. Dinh, L., Yang, P., & Diesner, J. (2022). From plan to practice: Interorganizational response networks extraction from emergency management plans, situational reports, and tweets about hurricane events. Presentation at 8th Annual International Conference on Computational Social Science (IC2S2).
  3. Yang P., Sarol, J., Dinh, L., & Diesner, J. (2021). Reliable relation extraction for social network construction. Presentation at the North American Regional Social Networks Conference 2021 (NASN2021) (held online).
  4. Aref, S., Dinh, L., Rezapour, R., and Diesner, J. (2020). Multilevel structural evaluation of signed directed social networks. Extended abstract Network Science Society Conference 2020 (NetSci2020) (held online).
  5. Mishra, S., Han. K., Yang, P., Li, K., & Diesner, J. (2020). Human-in-the-loop construction of a knowledge base for computer science through Wikipedia. Presentation at 6th Annual International Conference on Computational Social Science (IC2S2) (held online).
  6. Parulian, N., Lu, T., Mishra, S., Avram, M., & Diesner, J. (2020). Adversarial perturbations to manipulate the perception of power and influence in networks. Poster at 6th Annual International Conference on Computational Social Science (IC2S2) (held online).
  7. Rezapour, R., Park, J., & Diesner, J. (2020). Detecting characteristics of cross-cutting language networks on social media. Poster at 6th Annual International Conference on Computational Social Science (IC2S2) (held online).
  8. Rezapour, R., Bopp, J., Fiedler, N., Steffen, D., Witt, A., & Diesner, J. (2020). Beyond citation: Corpus-based methods for assessing the impact of research outcomes on society. Poster at 6th Annual International Conference on Computational Social Science (IC2S2) (held online).
  9. Dinh, L., Sarol, J., & Diesner, J. (2020). How does situational awareness of emergencies depend on choices about data sources, analysis methods, and implementation of algorithms? Poster at 6th Annual International Conference on Computational Social Science (IC2S2) (held online).
  10. Dinh, L.*, Rezapour, R.*, Jiang, L., & Diesner, J. (2020). Assessing balance in signed digraphs by combining balance and transitivity. Poster at 6th Annual International Conference on Computational Social Science (IC2S2) (held online). (*Equal contribution)
  11. Mishra, A., Rezapour, R., Park, J., & Diesner, J. (2020). Leveraging topic modeling to enhance the interpretability of stance detection. Poster at 6th Annual International Conference on Computational Social Science (IC2S2) (held online).
  12. Mishra, S., Fegley, B.D., Diesner, J., & Torvik, V.I. (2019). Self-citation is the hallmark of productive authors, of any gender. Presentation at 5th Annual International Conference on Computational Social Science (IC2S2), Amsterdam, Netherlands.
  13. Kim J., & Diesner, J. (2018) Biases in Bibliometric Network Data and the Measurement of Triadic Closure. 2nd European Symposium on Societal Challenges in Computational Social Science: Discrimination and Bias, Cologne, Germany.
  14. Mishra, S., Lee, H., Kim, J., Torvik, V., & Diesner, J. (2018). Construction of hierarchical subject headings for computer science and their application to studying temporal trends in scholarly literature. Poster at 4th Annual International Conference on Computational Social Science (IC2S2), Evanston, IL.
  15. Dinh, L., & Diesner, J., (2018). Realizing the full potential of (infra-)structures for inter-agency communication before, during, and after disasters using the example of APAN (All Partners Access Network). Proceedings of 3rd International Workshop on Social Sensing, at ACM/IEEE International Conference on Internet of Things Design and Implementation 2018 (IoTDI 2018), Orlando, FL. doi: 10.1109/SocialSens.2018.00014
  16. Addawood, A., Rezapour, R., Mishra, S., Schneider, J., Diesner, J. (2017). Developing an information source lexicon. Presented in Workshop on Prioritising Online Content, the 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA.
  17. Evans, C., & Diesner, J. (2016). Mutual impact and stability of personal ethics and structural balance in a communication network over time. Poster at 2nd Annual International Conference on Computational Social Science (IC2S2), Evanston, IL.
  18. Evans C., Diesner, J., & Blake, C. (2015). Email data analysis as an alternate lens into historical events. Extended abstract HASTAC, East Lansing, MI.
  19. Diesner, J., Rezapour, R., & Pak, S. (2015). Comparative impact assessment of documentaries and related media. Extended abstract HASTAC, East Lansing, MI. [abstract]
  20. Diesner, J. (2014). ConText: Software for the integrated analysis of text data and network data. Preconference Social and Semantic Networks in Communication Research, Conference of International Communication Association (ICA), Seattle, WA.
  21. Diesner, J., Kim, J., & Higgins, A. (2014). Socio-semantic network analysis for impact assessment. Abstract European Social Networks Conference (EUSN), Barcelona, Spain.
  22. Diesner, J. (2014). Computational assessment of the impact of social justice documentaries. Extended abstract HASTAC, Lima, Peru.
  23. Diesner, J., Aleyasen, A., Kim, J., Mishra, S., & Soltani, S. (2013). Using socio-semantic network analysis for assessing the impact of documentaries. Extended abstract WIN (Workshop on Information in Networks), New York, NY. [pdf]
  24. Diesner, J., & Carley, K.M. (2010). Extension of supervised machine learning system to extract socio- technical networks about the Sudan from open source text data. Women in Machine Learning (WiML) Workshop in conjunction with NIPS, Vancouver, Canada.
  25. Diesner, J., & Carley, K.M. (2009). WYSIWII - What You See Is What It Is: Informed approximation of relational data from texts. General Online Research (GOR) Conference, Vienna, Austria, April 2009. [abstract]
  26. Carley, K.M., Frantz, T., & Diesner, J. (2006). Social and knowledge networks from large scale databases. 56th Conference of International Communication Association (ICA), Dresden, Germany, June 2006. [abstract]
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Book Chapters

  1. Diesner, J., Chin, C., & Smith, M. A. (2018). Combining online social networks with text analysis. In: R. Alhajj & J. Rokne (Eds.), Encyclopedia of social network analysis and mining. Springer. doi: 10.1007/978-1-4939-7131-2_328. (Updated version based on Diesner, J., & Smith, M. (2014). Combining online maps with text analysis. In R. Alhajj, J. Rokne (Eds.) Encyclopedia of social network analysis and mining (pp. 202-206). Springer. doi: 10.1007/978-1-4614-6170-8_328)
  2. Gloor, P., & Diesner, J. (2018). Semantic social networks. In R. Alhajj, J. Rokne (Eds.), Encyclopedia of social network analysis and mining. Springer. doi: 10.1007/978-1-4939-7131-2_90. (Updated version based on Gloor, P., & Diesner, J. (2014). Semantic social networks. In R. Alhajj, J. Rokne (Eds.), Encyclopedia of social network analysis and mining (pp. 1654-1659). Springer. doi: 10.1007/978-1-4614-6170-8_90)
  3. Diesner, J. (2015). Words and networks: How reliable are network data constructed from text data? In E. Bertino & S. A. Matai (Eds.), Roles, trust, and reputation in social media knowledge markets (pp. 81-89). Springer. doi: 10.1007/978-3-319-05467-4_5
  4. Diesner, J., Mergel, I., & Carley, K.M. (2011). Network analysis software. In G. Barnett (Ed.), Encyclopedia of social networks (pp. 595-598). Sage.
  5. Diesner, J., & Carley, K.M. (2011). Semantic networks. In G. Barnett (Ed.), Encyclopedia of social networks (pp. 767-769). Sage.
  6. Diesner, J., & Carley, K.M. (2011). Words and networks. In G. Barnett (Ed.), Encyclopedia of social networks (pp. 958-961). Sage.
  7. Diesner, J., & Carley, K.M. (2010). Relation extraction from texts (in German: Extraktion relationaler daten aus texten). In C. Stegbauer & R. Häußling (Eds.), Handbook network research (Handbuch Netzwerkforschung) (pp. 507 -521). VS Verlag.
  8. Diesner, J., & Carley, K.M. (2010). Relational methods for analyzing and preventing crime (in German: Relationale verfahren in der erforschung, ermittlung und prävention von kriminalität). In C. Stegbauer & R. Häußling (Eds.), Handbook network research (Handbuch netzwerkforschung) (pp. 725-738). VS Verlag.
  9. Weil, S.A., Foster, P., Freeman, J., Carley, K.M., Diesner. J., Cooke, N.J., & Shope, S. (2008). Converging approaches to automated communications-based assessment of team situation awareness. In M. P. Letsky, N.W. Warner, S. M. Flore & C. A. P. Smith (Eds.), Macrocognition in teams: Theories and methodologies (pp. 277–304). Ashgate.
  10. Diesner, J., & Carley, K.M. (2005). Revealing social structure from texts: Meta-matrix text analysis as a novel method for network text analysis. In V. K. Narayanan & D. J. Armstrong (Eds.), Causal mapping for information systems and technology research (pp. 81-108). Idea Group.
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Technical Reports

  1. Lewis, E.T., Carley, K.M., & Diesner, J. (2016). Displaying responsiveness or asserting identity in organizational language: how concept networks capture rhetorical strategies (Technical Report CMU-ISR-16-111). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research.
  2. Diesner, J. (2012). Uncovering and managing the impact of methodological choices for the computational construction of socio-technical networks from texts (Technical Report CMU-ISR-12-101). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research. (PhD thesis)
  3. Carley, K.M., Diesner, J., DeReno, M., Columbus, D., Bigrigg, M., Kunkel, F., . . . Altman, M. (2009, 2008, 2007, 2006). AutoMap user’s guide (Technical Reports CMU-ISR-09-114, CMU-ISR-08-123, CMU-ISRI-07-114, CMU-ISRI-06-114). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research.
  4. Diesner, J., & Carley, K. M. (2008). Looking under the hood of stochastic part of speech taggers (Technical Report CMU-ISR-08-131R). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research.
  5. Frantz, T. L., Carley, K. M., & Diesner, J. (2005). An Automated Methodology for Conducting a Social Network Study of a University Faculty (Technical Report CMU-ISRI-05-106). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, , Institute for Software Research International.
  6. Tsvetovat, M., Diesner, J., & Carley, K. M. (2004). NetIntel: A Database for Manipulation of Rich Social Network Data (Technical Report CMU-ISRI-04-135). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research International.
  7. Diesner, J., & Carley, K. M. (2004). AutoMap1.2 - Extract, analyze, represent, and compare mental models from texts (Technical Report CMU-ISRI-04-100). Pittsburgh, PA: Carnegie Mellon University, School of Computer Science, Institute for Software Research International.
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Selected Other Papers and Presentations (light peer review)

  1. Holbrook, J., Johnston, K., Sokoloski, J., Sturner, A., Willman, B., Tanweer, A., & Diesner, J. (2023). Introducing LSST Discovery Alliance Catalyst Fellowship – Increasing the Transformational Power of Rubin LSST. XVII Latin American Regional IAU Meeting, Montevideo, Uruguay.
  2. Mishra, A., Lee, H., Jeoung, S., Torvik, V., & Diesner, J. (2023). Expertise diversity and scientific impact. International Conference on the Science of Science and Innovation (ICSSI), Northwestern, IL.
  3. Lee, H., Mishra, S., Mishra, A., Kim, J., & Diesner, J. (2023). Are claims of gender bias in scholarly research metrics influenced by inaccurate author name disambiguation and gender prediction? International Conference on the Science of Science and Innovation (ICSSI), Northwestern, IL.
  4. Chin, C., & Diesner, J. (2023). What went wrong? Examining ethical violations in paper retractions among disciplines. International Conference on the Science of Science and Innovation (ICSSI), Northwestern, IL.
  5. Han, K., You, J., Kim, J., & Diesner, J. (2023): Leveraging Multiple Funder Information Resources for Funder Name Disambiguation. International Conference on the Science of Science and Innovation (ICSSI), Northwestern, IL.
  6. Mishra, S., & Diesner, J. (2022, 2023). PyTAIL - Interactive and Incremental Learning of NLP. At Human in the Loop Data Curation (HIL-DC) at Conference on Information and Knowledge Management (CIKM), at Interactive learning for natural language processing (InterNLP) workshop at NeurIPS, and at Human in the Loop Learning (HILL) workshop at NeurIPS 2022, and at IC2S2 2023. regular peer review
  7. Yang, P., Sarol, M.J., Dinh, L., & Diesner, J. (2020, 2021). Annotation guidelines for entity tagging and semantic role labeling of disaster-related text documents. Critical Infrastructure Resilience Institute 11th Maritime Risk Symposium (held online) AND at US Department of Homeland Security Centers of Excellence (COE) Summit. Fairfax, Virginia (held online).
  8. Jiang, L., Dinh, L., Rezapour, R., & Diesner, J. (2020). Sentiment-based PageRank to infer hierarchical structures in social networks. Poster at Women in Data Science (WiDS) Conference, UIUC. *2nd best poster award. (light peer review)
  9. Lu, T., Parulian, N., Avram, M., Mishra, S., & Diesner, J. (2020). Adversarial perturbations to manipulate the perception of power and influence in networks. Poster at Women in Data Science (WiDS) Conference, UIUC. Best poster award. (light peer review)
  10. Sarol, J., Yang, P., Yang, X., & Diesner, J. (2020). Best practices in entity detection and relation extraction. Poster at Women in Data Science (WiDS) Conference, UIUC. (light peer review)
  11. Shen, H., & Diesner, J. (2014). Semantic network analysis of the public discourse on censorship in China. National Communication Association 100th Annual Conference, Chicago, IL.
  12. Weil, S. A., Carley, K. M., Diesner, J., Freeman, J., & Cooke, N. J. (2006). Measuring situational awareness through analysis of communications: A preliminary exercise. APTIMA, Inc., Woburn, MA.
  13. Lewis, E.T., Diesner, J., & Carley, K.M. (2001). Using automated text analysis to study self-presentation strategies. Proceedings of Computational Analysis of Social and Organizational Systems Conference (CASOS), Pittsburgh, PA, July 2001.
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Selected Open-Source Resources

  1. Han, K., Yang, P., Mishra, S., & Diesner, J. (2020): WikiCSSH - Computer Science Subject Headings from Wikipedia. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0424970_V1 [Lexical Resource]
  2. Rezapour, R., Diesner, J. (2019) Expanded Morality Lexicon. https://doi.org/10.13012/B2IDB-3805242_V1.1 [Lexical Resource]
  3. Diesner, J., Aleyasen, A., Chin, C., Mishra, S., Soltani, K., Tao, L. (2015). ConText: Network Construction from Texts [Software]. Available from http://context.ischool.illinois.edu
  4. NodeXL [Software]. Modules for semantic networks. Available from https://www.smrfoundation.org/nodexl/
  5. Diesner, J., Mishra, S., Tao, L., & Chin, C. (2015). SAIL: Sentiment Analysis and Incremental Learning [Software]. Available from https://github.com/uiuc-ischoolscanr/SAIL
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