Publications

While I try to update this regularly (no longer true!), Google Scholar profile. does a better job of compiling my most recent articles.

2022

• Liu, T., Ungar, L. H., Curtis, B., Sherman, G., Yadeta, K., Tay, L., … & Guntuku, S. C. (2022). Head versus heart: social media reveals differential language of loneliness from depression. npj Mental Health Research, 1(1), 1-8.
• Southwick, L., Francisco, A., Bradley, M., Klinger, E., & Guntuku, S. C (2022). Characterizing Responses to COVID-19 Vaccine Promotion on TikTok. American Journal of Health Promotion, 08901171221141974.
• Andy, A., Sherman, G., & Guntuku, S. C. (2022). Understanding the expression of loneliness on Twitter across age groups and genders. Plos ONE, 17(9), e0273636.
• Merchant, R.M., Southwick, L., Beidas, R., Mandell, D.S., Guntuku, S.C., Pelullo, A., Yang, L., Mitra, N., Curtis, B., Ungar, L., & Asch, D., (2022) Effect of Integrating Patient-Generated Digital Data Into Mental Health Therapy: A Randomized Controlled Trial. Psychiatric Services
• Dixon, E. L., Joshi, S. M., Ferrell, W., Volpp, K. G., Merchant, R. M., & Guntuku, S. C. (2022). COVID-19 contact tracing app reviews reveal concerns and motivations around adoption. PloS ONE, 17(9), e0273222.
• Seltzer, E. K., Guntuku, S. C., Lanza, A. L., Tufts, C., Srinivas, S. K., Klinger, E. V., … & Merchant, R. M. (2022). Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study. JMIR Formative Research, 6(3), e28379.
• Agarwal, A. K., Guntuku, S. C., Meisel, Z. F., Pelullo, A., Kinkle, B., & Merchant, R. M. (2022). Analyzing Online Reviews of Substance Use Disorder Treatment Facilities in the USA Using Machine Learning. Journal of General Internal Medicine, 37(4), 977-980.
• Jakhetiya, V., Chaudhary, S., Subudhi, B. N., Lin, W., & Guntuku, S. C. (2022). Perceptually Unimportant Information Reduction and Cosine Similarity-Based Quality Assessment of 3D-Synthesized Images. IEEE Transactions on Image Processing, 31, 2027-2039.
• Jakhetiya, V., Mumtaz, D., Subudhi, B. N., & Guntuku, S. C. (2022). Stretching artifacts identification for quality assessment of 3D-synthesized views. IEEE Transactions on Image Processing, 31, 1737-1750.

2021

• Eichstaedt, J. C., Sherman, G. T., Giorgi, S., Roberts, S. O., Reynolds, M. E., Ungar, L. H., & Guntuku, S. C. (2021). The emotional and mental health impact of the murder of George Floyd on the US population. Proceedings of the National Academy of Sciences, 118(39). [Link] [Data]

• Guntuku, S. C., Buttenheim, A. M., Sherman, G., & Merchant, R. M. (2021). Twitter discourse reveals geographical and temporal variation in concerns about COVID-19 Vaccines in the United States. Vaccine. [Link] [Data]

• Cui, J., Zhang, T., Pang, D., Jaidka, K., Sherman, G., Jakhetiya, V., Ungar, L. H., Guntuku, S. C. (2021). Social Media Reveals Urban-Rural Differences in Stress across China. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) [Preprint] [Data]

• Southwick, L., Guntuku, S. C., Klinger, E. V., Seltzer, E., McCalpin, H. J., & Merchant, R. M. (2021). Characterizing COVID-19 Content Posted to TikTok: Public Sentiment and Response During the First Phase of the COVID-19 Pandemic. Journal of Adolescent Health. [Link]

• Guntuku, S. C., Klinger, E. V, McCalphin, H., Ungar, L.H., Asch, D.A., & Merchant, R. M. (2021). Social media language of healthcare super-utilizers. npj Digital Medicine. [PDF]

• Giorgi, S., Guntuku, S.C., Eichstaedt, J., Schwartz, H., & Ungar, L.H., Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. 2021, Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) [PDF] [Data]

• Guntuku S.C., Purtle J., Meisel Z. F., Merchant R. M., Agarwal A. K., Partisan Differences in Twitter Language among United States Legislators during COVID-19: A Cross-Sectional Study, (2021), Journal of Medical Internet Research, 2021 [PDF]

• Chaudhary S., Jakhetiya V., Subudhi B. N., Baid U., Guntuku S.C., Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning, Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Grand Challenge Runner-up [PDF] [Code]

• Agarwal, A. K., Guntuku, S. C., Meisel, Z. F., Pelullo, A., Kinkle, B., & Merchant, R. M. (2021). Analyzing Online Reviews of Substance Use Disorder Treatment Facilities in the USA Using Machine Learning. Journal of General Internal Medicine, 1-4. [Link]

• Southwick, L., Guntuku, S.C., Klinger, E.V., Pelullo, A., McCalpin, H., Merchant, R.M., The role of digital health technologies in COVID-19 surveillance and recovery: A specific case of Long Haulers, (2021). International Review of Psychiatry (IIRP) DOI: 10.1080/09540261.2020.1854195. [Link]

• Andy, A.U., Guntuku, S.C., Adusumalli, S., Asch, D.A., Groeneveld, P.W., Ungar, L.H., Merchant, R.M. Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models JMIR Cardio 2021;5(1):e24473 [PDF]

• Ojo, A., Guntuku, S. C., Zheng, M., Beidas, R. S., & Ranney, M. L. (2021). How Health Care Workers Wield Influence Through Twitter Hashtags: Retrospective Cross-sectional Study of the Gun Violence and COVID-19 Public Health Crises. JMIR Public Health and Surveillance, 7(1), e24562. (first and second authors have equal contribution) [PDF]

• Ortiz R, Southwick L, Schneider R, Klinger EV, Pelullo A, Guntuku SC, Merchant RM, Agarwal AK. Improving Mood Through Community Connection and Resources Using an Interactive Digital Platform: Development and Usability Study, JMIR Ment Health 2021;8(2):e25834, doi: 10.2196/25834 [PDF]

• Mahajan, P., Jakhetiya, V., Abrol, P., Lehana, P., Badri, S., Guntuku S.C., Perceptual Quality Evaluation of Hazy Natural Images, IEEE Transactions of Industrial Informatics, (in press) 2021

• Andy, A., Chu, B., Fathy, R., Bennett, B., Stokes, D., & Guntuku, S. C. (2021, April). Understanding Social Support Expressed in a COVID-19 Online Forum. In Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis (pp. 19-27). [PDF]

2020

• Guntuku S.C., Sherman G., Stokes D.C., Agarwal A., Seltzer E., Merchant R.M, Ungar L.H. Tracking mental health and symptom mentions on Twitter during COVID-19 , 2020 Journal of general internal medicine, [PDF] [Data]

• Guntuku S.C., Schwartz H.A., Kashyap A., Gaulton J., Stokes D.C., Asch D.A., Ungar L.H., Merchant R.M, Variability in Language used on Social Media prior to Hospital Visits, 2020, Scientific Reports, [PDF]

• Li, M., Hickman, L., Tay, L., Ungar, L. H., Guntuku, S. C. Studying Politeness across Cultures using English Twitter and Mandarin Weibo, (2020). ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). [PDF] [Code]

• Guntuku S.C., Gaulton J., Seltzer E., Asch D.A., Srinivas S., Ungar L.H., Mancheno C., Klinger E.V, Merchant R.M, Studying social media language changes associated with pregnancy status, trimester, and parity, 2020, Women’s Health, [PDF]

• Santosh, R., Schwartz, H. A., Eichstaedt, J. C., Ungar, L., & Guntuku, S. C., Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. In proceedings of EMNLP 2020 (Empirical Methods in NLP) workshop on COVID-19. [PDF]

• Andy, A. & Guntuku, S. C., Does Social Support (Expressed in Post Titles) Elicit Comments in Online Substance Use Recovery Forums?. In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. [PDF]

• Zamani, M., Schwartz, H. A., Eichstaedt, J. C., Guntuku, S. C., Ganesan, A. V., Clouston, S., & Giorgi, S. (2020, November). Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling. In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science.[PDF] [COVID-19 Content-Specific Topics]

• van Loon, A., Stewart, S., Waldon, B., Lakshmikanth, S. K., Shah, I., Guntuku, S. C., Sherman, G., Zou, J., & Eichstaedt, J. C. (2020). Explaining the Trump Gap in Social Distancing Using COVID discourse. In proceedings of EMNLP 2020 (Empirical Methods in NLP) workshop on COVID-19. [PDF]

• Stokes, D. C., Andy, A., Guntuku, S. C., Ungar, L. H., & Merchant, R. M. (2020). Public priorities and concerns regarding covid-19 in an online discussion forum: Longitudinal topic modeling. Journal of general internal medicine, [PDF]

• Jaidka, K., Guntuku, S. C., Lee, J. H., Luo, Z., Buffone, A., & Ungar, L. H. (2020). The rural–urban stress divide: Obtaining geographical insights through Twitter. Computers in Human Behavior [Link] [Data]

• Simchon A., Guntuku S.C., Simhon R., Ungar L.H, Giliad M., Political Depression? A Big-Data, Multi-Method Investigation of Americans’ Emotional Response to the Trump Presidency Journal of Experimental Psychology: General, [PDF] [Data/Code]

• Agarwal S., Guntuku S.C., Robinson O., Ungar L.H. Examining the Phenomenon of Quarter-life Crisis through Artificial Intelligence and the Language of Twitter, Frontiers in Psychology, [PDF]

2019

• Guntuku S.C., Schneider R.C, Pelullo A., Young J.F, Wong V., Ungar L.H, Polsky D., Volpp K., Merchant R.M., Studying expressions of loneliness in individuals using twitter: an observational study, BMJ Open, [PDF] [Loneliness Lexica]

• Guntuku, S. C., Preoţiuc-Pietro, D., Eichstaedt, J. C & Ungar, L. H. What Twitter Profile and Posted Images Reveal about Depression and Anxiety, 2019, ICWSM [PDF] [Data]

• Guntuku, S. C., Buffone, A., Jaidka, K., Eichstaedt, J. C & Ungar, L. H. Understanding and Measuring Psychological Stress using Social Media, 2019, ICWSM [PDF] [Stress Lexica]

• Guntuku, S. C., Li, M., Tay, L. & Ungar, L. H. Studying Cultural Differences in Emoji Usage across the East and the West, 2019, ICWSM [PDF] [Data/Code]

• Agarwal AK, Wong V, Pelullo A, Guntuku S, Polsky D, Asch DA, Muruako J, Merchant RM. Online Reviews of Specialized Drug Treatment Facilities – Identifying potential drivers of high and low patient satisfaction. Journal of General Internal Medicine. [Link]

• Li, M., Guntuku, S. C., Jakhetiya, V. & Ungar, L. H. Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo, 2019, EMOJI2019 colocated with The WebConf [PDF]

• Merchant, R. M., Asch, D. A., Crutchley, P., Ungar, L. H., Guntuku, S. C, Eichstaedt, J. C., Hill, S., Padrez, K., Smith, R. J., & Schwartz, H. A. (2019, in press) Evaluating the predictability of medical conditions from social media posts. PLOS One [PDF] [Data]

• Matero, M., Idnani, A., Son, Y., Giorgi, S., Vu, H., Zamani, M., Limbachiya, P., Guntuku, S.C., & Schwartz, H. A., Suicide Risk Assessment with Multi-level Dual-Context Language and BERT, Computational Linguistics and Clinical Psychology Workshop, 2019 [PDF]

2018

• Yang, Q., Tufts, C., Ungar, L., Guntuku, S., & Merchant, R. (2018). To retweet or not to retweet: Understanding what features of cardiovascular tweets influence their retransmission. Journal of health communication, 23(12), 1026-1035. [Link]

• Samani, Z. R., Guntuku, S. C., Moghaddam, M. E., Preoţiuc-Pietro, D. & Ungar, L. H. Cross-Platform and Cross-Interaction Study of User Personality based on Images on Twitter and Flickr, 2018, PLOS One [Link] [Data]

• Guntuku, S. C., Giorgi, S., Ungar, L., Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task, 2018, CLPysch [PDF]

• Jaidka, K., Guntuku, S. C., Ungar, L., Facebook vs. Twitter: Cross-platform differences in self-disclosure and trait prediction, 2018, ICWSM [PDF]

• Zhu, Yi., Guntuku, S. C., Lin, W., Ghinea, G., & Redi, J., Measuring Individual Video QoE: A Survey, and Proposal for Future Directions Using Social Media, 2018, ACM Transactions on Multimedia [Link]

• Jakhetiya, V., Lin, W., Jaiswal, S. P., Gu, K., & Guntuku, S. C., Just Noticeable Difference for Natural Images using RMS Contrast and Feed-back Mechanism., 2018, Neurocomputing [Link]

2017

• Guntuku, S. C., Ramsay, R. J, Merchant, R. M, Ungar, L.H, Language of Attention Deficit Hyperactivity Disorder (ADHD) in Adults on Social Media, 2017, Journal of Attention Disorders [PDF]

• Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., Eichstaedt, J. C., Detecting Depression and Mental Illness on Social Media: An Integrative Review, 2017, Elsevier Current Opinion in Behavioral Sciences [PDF]

• Guntuku, S. C., Lin, W., Carpenter, J., Ng, W. K., & Ungar, L. H., Preoţiuc-Pietro, D., Studying Personality through the Content of Posted and Liked Images on Twitter, 2017, ACM Web Science [PDF]

• Preotiuc-Pietro, D., Guntuku, S. C., & Ungar, L., Controlling Human Perception of Basic User Traits, 2017, EMNLP [PDF]

• Jakhetiya, V., Lin, W., Jaiswal, S. P., Guntuku, S. C., & Au, O. C., Maximum a posterior and perceptually motivated reconstruction algorithm: a generic framework., 2017, IEEE Transactions on Multimedia [PDF]

2016

• Roy, S., Guntuku, S. C., Latent Factor Representations for Cold-Start Video Recommendation, 2016, ACM Recommender Systems (RecSys) [PDF]

• Guntuku, S. C., Zhou, J. T., Roy, S., Weisi, L., & Tsang, I. W., Understanding Deep Representations Learned in Modeling User Likes, IEEE Transactions on Image Processing, 2016, [PDF]

• Guntuku, S. C., Zhou, J. T., Roy, S., Weisi, L., & Tsang, I. W., Who Likes What and Why? Insights into Personality Modeling based on Image ‘Likes’, IEEE Transactions on Affective Computing, 2016, [PDF]

• Guntuku, S. C., Scott, M. J., Ghinea, G., & Lin, W., Personality, Culture, and System Factors - Impact on Affective Response to Multimedia, [PDF Preprint]

• Guntuku, S. C., Roy, S., Lin, W., Ng, K., Ng, W.K., Jakhetiya, V., Personalizing User Interfaces for improving Quality of Experience in VoD Recommender Systems, 2016, Eigth International Conference on Quality of Multimedia Experience (QoMEX) [PDF]

• Scott, M. J., Guntuku, S. C., Lin, W., & Ghinea, G., Do Personality and Culture Influence Perceived Video Quality and Enjoyment?, IEEE Transactions on Multimedia, 2016 (first and second authors have equal contribution) [PDF]

• Prakhya, S. M., Liu, B., Lin, W., Jakhetiya, V., & Guntuku, S. C., B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds, 2016, Autonomous Robots, [PDF]

2015

• Guntuku, S. C., Qiu, L., Roy, S., Lin, W., & Jakhetiya, V., Do Others Perceive You As You Want Them To?: Modeling Personality based on Selfies In Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia at ACM Multimedia 2015, (pp. 21-26). [PDF]

• Scott, M. J., Guntuku, S. C., Huan, Y., Lin, W., & Ghinea, G., Modelling Human Factors in Perceptual Multimedia Quality: On The Role of Personality and Culture In Proceedings of the 23rd Annual ACM Conference on Multimedia Conference (pp. 481-490). ACM. [PDF]

• Guntuku, S. C., Lin, W., Scott, M. J., & Ghinea, G., Modelling the influence of personality and culture on affect and enjoyment in multimedia In Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on (pp. 236-242). IEEE. [PDF]

• Guntuku, S. C., Roy, S., & Weisi, L., Evaluating visual and textual features for predicting user ‘likes’ In Multimedia and Expo (ICME), 2015 IEEE International Conference on (pp. 1-6). IEEE. [PDF]

• Guntuku, S. C., Scott, M. J., Yang, H., Ghinea, G., & Lin, W., The CP-QAE-I: A video dataset for exploring the effect of personality and culture on perceived quality and affect in multimedia In Quality of Multimedia Experience (QoMEX), 2015 Seventh International Workshop on (pp. 1-7). IEEE. [PDF]

• Guntuku, S. C., Roy, S., & Weisi, L., Personality modeling based image recommendation In MultiMedia Modeling (pp. 171-182). Springer International Publishing. [PDF]

• Jakhetiya, V., Lin, W., Jaiswal, S. P., Tiwari, A. K., & Guntuku, S. C., Observation model based perceptually motivated bilateral filter for image reconstruction, 2015, IEEE Digital Signal Processing (DSP) [PDF]

• Gupta, A. K., Guntuku, S. C., Desu, R. K., & Balu, A., Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks The International Journal of Advanced Manufacturing Technology 77.1-4 (2015): 331-339. [PDF]

2014

• Guntuku, S. C., Zhou, J. T., Roy, S., Weisi, L., & Tsang, I. W., Deep representations to model user ‘likes’ In Computer Vision–ACCV 2014 (pp. 3-18). Springer International Publishing. [Link]

• Desu, R. K., Guntuku, S. C., Aditya, B., & Gupta, A. K., Support Vector Regression based Flow Stress Prediction in Austenitic Stainless Steel 304 Procedia Materials Science 6 (2014): 368-375. [PDF]

• Singh, K., Guntuku, S. C., Thakur, A., & Hota, C. Big data analytics framework for peer-to-peer botnet detection using random forests Information Sciences 278 (2014): 488-497. (first and second authors have equal contribution) PDF