Journal Articles and Book Chapters
1. Ghosh, I., & Singh, V. (2021). “Not all my friends are friends”: Audience‐group‐based nudges for managing location privacy. Journal of the Association for Information Science and Technology. Early Access: https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.24580.

2. Singh, V. K., Ghosh, I., & Sonagara, D.  (2021). Detecting fake news stories via multimodal analysisJournal of the Association for Information Science and Technology72(1), 3-17.

3. Bati, G. F., & Singh, V. K. (2021). Altrumetrics: Inferring Altruism Propensity Based on Mobile Phone Use Patterns. IEEE Transactions on Big Data. 7 (2), 397-406. DOI: 10.1109/TBDATA.2018.2873346.

4. Bati, G. F., & Singh, V. K. (2021). NADAL: A Neighbor-Aware Deep Learning Approach for Inferring Interpersonal Trust Using Smartphone DataComputers10(1), 3.

5. Singh, V. K., André, E., Boll, S., Hildebrandt, M., & Shamma, D. A. (2020). Legal and ethical challenges in multimedia researchIEEE MultiMedia27(2), 46-54.

6. Choi, D., Shah, C., & Singh, V. (2020). Investigating information seeking in physical and online environments with escape room and web searchJournal of Information Science, 0165551520972285. https://doi.org/10.1177/0165551520972285

7. Singh, V., Chayko, M., Inamdar, R., & Floegel, D. (2020), Female Librarians and Male Computer Programmers: Gender Bias in Occupational Images on Digital Media Platforms.  Journal of the Association for Information Science and Technology71(11), 1281-1294. [see Poster]

8. Ghosh, I., & Singh, V. (2020). Phones, privacy, and predictions: A study of phone logged data to predict privacy attitudes of individualsOnline Information Review. 44(2), 483-502. DOI:10.1108/OIR-03-2018-0112

9. Agarwal, R. R., Lin, C. C., Chen, K. T., & Singh, V. K. (2018). Predicting financial trouble using call data—On social capital, phone logs, and financial troublePloS one13(2), e0191863.

10. Singh, V. K., Goyal, R., & Wu, S. (2018). Riskalyzer: Inferring Individual Risk-Taking Propensity Using Phone Metadata. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1), 34.

11. Soni, D., & Singh, V. K. (2018). See No Evil, Hear No Evil: Audio-Visual-Textual Cyberbullying Detection. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 164.

12. Huang, Q., Singh, V. K., & Atrey, P. K. (2018). On cyberbullying incidents and underlying online social relationships. Journal of Computational Social Science, 1(2), 241-260. https://doi.org/10.1007/s42001-018-0026-9.

13. Dong, X., Suhara, Y., Bozkaya, B., Singh, V. K., Lepri, B., & Pentland, A. S. (2018). Social bridges in urban purchase behavior. ACM Transactions on Intelligent Systems and Technology (TIST), 9(3), 33.

14. Singh, V. K., & Ghosh, I. (2017). Inferring Individual Social Capital Automatically via Phone Logs. Proceedings of the ACM on Human-Computer Interaction, 1(CSCW), 95. Length: 12 pages.

15. V. K. Singh, Fernandes, D., Kankanhalli, M., & Haenselmann, T. (2016). Decoupled Multicamera Sensing for Flexible View Generation. Journal of Sensors501, 8137859.

16. Almaatouq, A., Shmueli, E., Nouh, M., Alabdulkareem, A., Singh, V. K., Alsaleh, M., Alarifi, A., Alfaris, A. & Pentland, A.S. (2016). If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accountsInternational Journal of Information Security15(5), 475-491

17. de Montjoye, Y. A., Radaelli, L., V. K. Singh, & Pentland, A.  (2015). Unique in the shopping mall: On the reidentifiability of credit card metadataScience, 347(6221), 536-539.

18. V. K. Singh, Bozkaya, B., & Pentland, A. (2015). Money Walks: Implicit Mobility Behavior and Financial Well-Being. PloS one10(8), e0136628.

19. Barnaghi, P., Sheth, A., V. K. Singh, & Hauswirth, M. (2015). Physical-Cyber-Social Computing: Looking Back, Looking Forward (Guest Editorial). Internet Computing, IEEE19(3), 7-11

20. Srivastav, K.A., V. K. Singh, Bozkaya, B., & Pentland, A. (2015). Assessing Financial Wellbeing of Merchants by Analyzing Behavioral Patterns in Historical Transactions in Geo-Intelligence and Visualization through Big Data Trends, pp. (76-93), IGI Global, PA

21. V. K. Singh, Mani, A., & Pentland, A. (2014). Social Persuasion in Online and Physical NetworksProceedings of the IEEE102(12), 1903-1910

22. V. K. Singh*, L. Freeman*, B. Lepri, and A. Pentland (2013), Classifying Spending Behavior using Socio-Mobile Data, ASE Human  Journal. (* denotes equal contribution)

23. Shmueli, E., Singh, V. K., Lepri, B., & Pentland, A. (2014). Sensing, understanding, and shaping social behaviorIEEE Transactions on Computational Social Systems1(1), 22-34. (* denotes equal contribution)

24. Singh, V. K., Jain, R., & Kankanhalli, M. (2011). Mechanism design for incentivizing social media contributions. In Social media modeling and computing (pp. 121-143). Springer, London.

25. Singh, V. K., Pirsiavash, H., Rishabh, I., & Jain, R. (2009). Towards environment-to-environment (e2e) multimedia communication systemsMultimedia Tools and Applications44(3), 361-388.

26. Singh, V. K., & Kankanhalli, M. S. (2009). Adversary aware surveillance systemsIEEE Transactions on Information Forensics and Security4(3), 552-563.

27. Singh, V. K., Atrey, P. K., & Kankanhalli, M. S. (2008). Coopetitive multi-camera surveillance using model predictive controlMachine Vision and applications19(5), 375-393.

 

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Conference Proceedings Publications
    1. Beytia, P., Agarwal, P., Redi, M., & Singh, V.K. (2022), “Visual Gender Biases in Wikipedia: A Systematic Evaluation across the Ten Most Spoken Languages”. To be published in the Proceedings of the ACM International Conference on Web and Social Media (ICWSM). 
    2. Park, J., Ahmed, E., Asif, H., Vaidya, J., & Singh, V. K. (2022).  Privacy Attitudes and COVID Symptom Tracking Apps: Understanding Active Boundary Management by Users. To be published in the Proceedings of the iConference. 
    3. Kulkarni, O. N., Patil, V., Singh, V. K., & Atrey, P. K. (2021). Accuracy and Fairness in Pupil Detection Algorithm. In 2021 IEEE Seventh International Conference on Multimedia Big Data (BigMM) (pp. 17-24). IEEE. 
    4. Houli, D. A., Radford, M. L., & Singh, V. K. (2021). “COVID19 is_”: The Perpetuation of Coronavirus Conspiracy Theories via Google AutocompleteProceedings of the Association for Information Science and Technology58(1), 218-229. 
    5. Roy, J., Bhatt, C., Chayko, M., & Singh, V. K. (2021). Roy, J., Bhatt, C., Chayko, M., & Singh, V. K. (2021). Gendered Sounds in Household Devices: Results from an Online Search Case Study. Proceedings of the Association for Information Science and Technology58(1), 824-826. 
    6. Alasadi, J., Ramanathan, A., Atrey, P. & Singh, V. K. (2020). A Fairness-Aware Fusion Framework for Multimodal Cyberbullying Detection. In Proceedings of the IEEE International Conference on Multimedia Big Data. 
    7. Abdulaziz, A., & Singh, V. K. (2020). Balancing Fairness and Accuracy in Sentiment Detection Using Multiple Black-box Models. In Proceedings of the 2nd ACM International Workshop on Fairness, Accountability, and Transparency, and Ethics in MultiMedia. 
    8. Singh, V., & Hofenbitzer, C. (2019). Fairness across network positions in cyberbullying detection algorithms. In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 557-559). IEEE.
    9. Alasadi, J., Al Hilli, A., & Singh, V., (2019). Toward Fairness in Face Matching Algorithms. (2019) In Proceedings of the 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia (pp. 19-25).
    10. Bati, G. F., & Singh, V. K. (2018). “Trust Us”: Mobile Phone Use Patterns Can Predict Individual Trust Propensity. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (p. 330). ACM. Length: 14 pages. 
    11. Ghosh, I., & Singh, V. K. (2018). Modeling social support scores using phone use patterns. Proceedings of the Association for Information Science and Technology55(1), 133-142. 
    12. Soni, D., & Singh, V. K. (2018). Time Reveals All Wounds: Modeling Temporal Dynamics of Cyberbullying Sessions. In Proceedings of the Eleventh International AAAI Conference on Web and Social Media (pp. 684-687) 
    13. Singh, V. K., & Long, T. (2018). Automatic assessment of mental health using phone metadata. Proceedings of the Association for Information Science and Technology55(1), 450-459. 
    14. Singh, V. K., Atrey, A., & Hegde, S. (2017). Do individuals smile more in diverse social company?: Studying smiles and diversity via social media photos. In Proceedings of the 25th ACM international conference on Multimedia (pp. 1818-1827). ACM. 
    15. Singh, V. K., Ghosh, S., & Jose, C. (2017). Toward multimodal cyberbullying detection. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2090-2099). ACM.
    16. Singh, V. K., Hegde, S., & Atrey, A. (2017). Towards measuring fine-grained diversity using social media photographs. In Eleventh International AAAI Conference on Web and Social Media. (pp. 668-671). 
    17. Singh, V. K., & Jain, A. (2017). Toward harmonizing self-reported and logged social data for understanding human behavior. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 2233-2238). ACM. 
    18. Singh, V. K., Radford, M. L., Huang, Q., & Furrer, S. (2017). They basically like destroyed the school one day: On Newer App Features and Cyberbullying in Schools. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1210-1216). ACM.
    19. Singh, V. K., & Agarwal, R. R. (2016). Cooperative phoneotypes: exploring phone-based behavioral markers of cooperation. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 646-657). ACM. 
    20. Choi, D., Shah, C., & Singh, V. (2016). Probing the interconnections between geo-exploration and information exploration behavior. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1170-1175). ACM. 
    21. Singh, V. K., Huang, Q., & Atrey, P. K. (2016). Cyberbullying detection using probabilistic socio-textual information fusion. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 884-887). IEEE Press.
    22. Almaatouq, A., Alabdulkareem, A., Nouh, M., Shmueli, E., Alsaleh, M., Singh, V. K., Alarifi, A., Alfaris, A., & Pentland, A. S. (2014). Twitter: who gets caught? Observed trends in social micro-blogging spam. In Proceedings of the 2014 ACM conference on Web science (pp. 33-41). ACM.
    23. Nouh, M., Almaatouq, A., Alabdulkareem, A., Singh, V. K., Shmueli, E., Alsaleh, M., … & Pentland, A. S. (2014). Social information leakage: Effects of awareness and peer pressure on user behavior. In International Conference on Human Aspects of Information Security, Privacy, and Trust (pp. 352-360). Springer, Cham.
    24. Huang, Q., Singh, V. K., & Atrey, P. K. (2014). Cyber bullying detection using social and textual analysis. In Proceedings of the 3rd International Workshop on Socially-Aware Multimedia (pp. 3-6). ACM. 
    25. Pongpaichet, S., Singh, V. K., Jain, R., & Pentland, A. P. (2013). Situation fencing: making geo-fencing personal and dynamic. In Workshop on Personal Data Meets Distributed Multimedia (pp. 3-10). ACM. 
    26. Singh, V. K., Freeman, L., Lepri, B., & Pentland, A. S. (2013). Predicting spending behavior using socio-mobile features. In 2013 International Conference on Social Computing (pp. 174-179). IEEE. 
    27. Gao, M., Singh, V. K., & Jain, R. (2012). Eventshop: from heterogeneous web streams to personalized situation detection and control. In Proceedings of the 4th Annual ACM Web Science Conference (pp. 105-108). ACM.
    28. Singh, V. K., Gao, M., & Jain, R. (2012). Situation recognition: an evolving problem for heterogeneous dynamic big multimedia data. In Proceedings of the 20th ACM international conference on Multimedia (pp. 1209-1218). ACM. 
    29. R. Jain, Singh, V. K., & Gao, M. (2011). Social Life Networks. In Proceedings of the WWW Workshop on Social Media Engagement (pp.1-8). Hyderabad, India. 
    30. Singh, V. K., Luo, J., Joshi, D., Lei, P., Das, M., & Stubler, P. (2011). Reliving on demand: a total viewer experience. In Proceedings of the 19th ACM international conference on Multimedia (pp. 333-342). ACM. 
    31. Singh, V. K., Gao, M., & Jain, R. (2010). Social pixels: genesis and evaluation. In Proceedings of the international conference on Multimedia (pp. 481-490). ACM. )
    32. Singh, V. K., & Jain, R. (2010). Structural analysis of the emerging event-web. In Proceedings of the 19th international conference on World wide web (pp. 1183-1184). ACM. 
    33. Singh, V. K., & Jain, R. (2009). Situation based control for cyber-physical environments. In Proceedings of the 2009 IEEE Military Communications Conference (pp. 1-7). IEEE. (Best Student Paper for the Workshop/Special Session on Situation Management) 
    34. Singh, V. K., Jain, R., & Kankanhalli, M. S. (2009). Motivating contributors in social media networks. In Proceedings of the first SIGMM workshop on Social media (pp. 11-18). ACM. (Best Paper Award) 
    35. Paleari, M. L., Singh, V., Huet, B., & Jain, R. (2009). Toward environment-to-environment (E2E) affective sensitive communication systems. In Proceedings of the first ACM international workshop on Multimedia technologies for distance learning (pp. 19-26). ACM.
    36. Saini, M. K., Singh, V. K., Jain, R. C., & Kankanhalli, M. S. (2008). Multimodal observation systems. In Proceedings of the 16th ACM international conference on Multimedia (pp. 933-936). ACM. 
    37. Singh, V. K., Pirsiavash, H., Rishabh, I., & Jain, R. (2008). Towards environment-to-environment (e2e) multimedia communication systems. In Proceedings of the 1st ACM international workshop on Semantic ambient media experiences (pp. 31-40). ACM. 
    38. Singh, V. K., & Kankanhalli, M. S. (2007). Towards adversary aware surveillance systems. In 2007 IEEE International Conference on Multimedia and Expo (pp. 2038-2041). IEEE.
    39. Singh, V. K., Atrey, P. K., & Kankanhalli, M. S. (2007). Coopetitive multimedia surveillance. In International Conference on Multimedia Modeling (pp. 343-352). Springer, Berlin, Heidelberg.
    40. Ram, S., Ramakrishnan, K. R., Atrey, P. K., Singh, V. K., & Kankanhalli, M. S. (2006). A design methodology for selection and placement of sensors in multimedia surveillance systems. In Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks (pp. 121-130). ACM.  
    41. Singh, V. K., & Atrey, P. K. (2005). Coopetitive visual surveillance using model predictive control. In Proceedings of the third ACM international workshop on Video surveillance & sensor networks (pp. 149-158). ACM.

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Authored and Edited Books:
  1. Bozkaya, B., & Singh, V.K. (2015), Geo-Intelligence and Visualization through Big Data Trends (edited book). Hershey, PA: IGI Global. doi 10.4018/978-1-4666-8465-2, pp. 1-349, 2015
  2. V. K. Singh, & Jain, R., Situation Recognition Using EventShop (co-authored monograph), Springer, pp. 1-150, ISBN: 978-3-319-30535-6 / 3319305352 (Published: June 2016.)

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May 2023: New research paper and dataset on the importance of journalistic article coding in misinformation research presented at WebSci'23. Media reports (a), (b), (c).

Aug 2022: Congratulations to the lab members on a productive academic year. 10 articles published/ accepted. Selected venues: JASIST (a,b), CSCW, ICWSM, FAccT, JMIR-FR.

May 2020: Grateful to the NSF for two COVID-19 related research grants. Vivek Singh promoted to Associate Professor (with tenure) effective July 1.

June 2019: Grateful for the NSF funding on reducing bias in information algorithms.

Sep 2018: Recent publications presented/accepted: CSCW 2018 ; IEEE Trans. Big Data; Online Information Review; J. Comp. Soc. Sci.

Mar 2018: Recent publications presented/accepted: CHI 2018; ACM UbiComp/IMWUT 2018; PLOSONE

Sep 2017: Recent publications presented/accepted: CHI 2017 (a,b); ICWSM 2017; ACM MM 2017; IEEE Trans. Intell. Syst. & Tech.CSCW 2018.

May 2015: Intrigued to find the US Court of Appeals cite our recent Science paper in it's judgement (page 9) on the NSA case.

Mar 2015: Grateful to National Science Foundation for funding our research project on cyberbullying detection. Daily Targum report.

Feb 2015: Our study on uniqueness of credit card spending data came out in Science magazine. Media coverage includes New York Times, Wall Street Journal, Nature News, Harvard Business Review , and The Telegraph.

Mar 2016: Grateful to Google Research for funding our research project on Sensor-based understanding of information seeking behavior. Details.