Journal of Advertising Special Section on Advances in Computational Advertising
Editorial: Jisu Huh & Edward C. Malthouse (2020): Advancing Computational Advertising: Conceptualization of the Field and Future Directions, Journal of Advertising, DOI: 10.1080/00913367.2020.1795759 (https://doi.org/10.1080/00913367.2020.1795759)
Natali Helberger, Jisu Huh, George Milne, Joanna Strycharz & Hari Sundaram (2020): Macro and Exogenous Factors in Computational Advertising: Key Issues and New Research Directions, Journal of Advertising, DOI: 10.1080/00913367.2020.1811179 (https://doi.org/10.1080/00913367.2020.1811179)
Yuping Liu-Thompkins , Ewa Maslowska , Yuqing Ren & Hyejin Kim (2020): Creating, Metavoicing, and Propagating: A Road Map for Understanding User Roles in Computational Advertising, Journal of Advertising, DOI: 10.1080/00913367.2020.1795758 (https://doi.org/10.1080/00913367.2020.1795758)
Guda van Noort, Itai Himelboim, Jolie Martin & Tom Collinger (2020): Introducing a Model of Automated Brand-Generated Content in an Era of Computational Advertising, Journal of Advertising, DOI: 10.1080/00913367.2020.1795954 (https://doi.org/10.1080/00913367.2020.1795954)
Theo Araujo, Jonathan R. Copulsky, Jameson L. Hayes, Su Jung Kim & Jaideep Srivastava (2020): From Purchasing Exposure to Fostering Engagement: Brand–Consumer Experiences in the Emerging Computational Advertising Landscape, Journal of Advertising, DOI: 10.1080/00913367.2020.1795756 (https://doi.org/10.1080/00913367.2020.1795756)
Joseph T. Yun, Claire M. Segijn, Stewart Pearson, Edward C. Malthouse, Joseph A. Konstan & Venkatesh Shankar (2020): Challenges and Future Directions of Computational Advertising Measurement Systems, Journal of Advertising, DOI: 10.1080/00913367.2020.1795757 (https://doi.org/10.1080/00913367.2020.1795757)
Selected Publications
Chen, M. B. (2025), “I’m a bit cautious of jumping in with both feet”: Exploring information ownership and negotiated control in AI chatbot users’ communication privacy management, Platform: Journal of Media and Communication, 10(1), 24–42.
https://platformjmc.com/wp-content/uploads/2025/11/chen-1.pdf
Pei, X., & Shin, W. (2025). “Could Alexa be good for my parents?”: concerns and challenges faced by adult children when transmitting algorithmic and AI-powered smart aged care technologies to aging parents. AI & SOCIETY, 1-13. https://doi.org/10.1007/s00146-025-02677-0
Xu, H., Smitha Muthya Sudheendra, Jisu Huh, Aadesh Salecha, & Jaideep Srivastava (2024), “Influence of emotions on coping behaviors in crisis: A computational analysis of the COVID-19 outbreak,” Journal of Computational Social Science, 7(2), 1599–1623. https://doi.org/10.1007/s42001-024-00282-7
Smitha M. Sudheendra, Maral Abdollahi, Dongyeop Kang, Jisu Huh, & Jaideep Srivastava (2024), "SkOTaPA: A Dataset for Skepticism Detection in Online Text after Persuasion Attempt," In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 14871–14876, Torino, Italia. ELRA and ICCL.
. Request for dataset: https://sites.google.com/umn.edu/skotapa-skepticism-dectection/home
Jisu Huh, Michelle R. Nelson & Cristel Antonia Russell (2023), "ChatGPT, AI Advertising, and Advertising Research and Education," Journal of Advertising, 52:4, 477-482, DOI: https://doi.org/10.1080/00913367.2023.2227013
Kim, Hyejin, Euna Mehnaz Khan, Jisu Huh, and Jaideep Srivastava (2022), “Fighting Negative Rumors with Trust-Based Rumor-Refutation Strategy,” Journal of Marketing Communications. 1-25. https://doi.org/10.1080/13527266.2022.2066155
Lu, Xinyu, Debarati Das, Jisu Huh, and Jaideep Srivastava (2022), “Influence of Consumers’ Temporary Affect on Ad Engagement: A Computational Research Approach,” Journal of Advertising. 51(3), 352-368. https://doi.org/10.1080/00913367.2021.1977202
Kim, Jisu, Jisu Huh, Bhavtosh Rath, Aadesh Salecha, and Jaideep Srivastava (2022), “Relationship between Citizen-Eyewitness Images and Audience Engagement with News,” Journalism Practice.16(8), 1774-1794. https://doi.org/10.1080/17512786.2021.1882873
Pfeuffer, Alex, Xinyu Lu, Yiran Zhang, and Jisu Huh (2021), “The Effect of Sponsorship Disclosure in YouTube Product Reviews,” Journal of Current Issues & Research in Advertising. 42(4), 391-410. https://doi.org/10.1080/10641734.2020.1859023
Pfeuffer, Alex and Jisu Huh (2021), “Effects of Different Sponsorship Disclosure Message Types on Consumers’ Trust and Attitudes,” International Journal of Advertising, 40(1), 49-80. https://doi.org/10.1080/02650487.2020.1807229
Huh, Jisu, Hyejin Kim, Bhavtosh Rath, Xinyu Lu, and Jaideep Srivastava (2020), “You Reap Where You Sow: A Trust-Based Approach to Initial Seeding for Viral Advertising,” International Journal of Advertising, 39(7), 963-989. https://doi.org/10.1080/02650487.2020.1718823
Roy, Atanu, Jisu Huh, Alexander Pfeuffer, and Jaideep Srivastava (2017), “Development of Trust Scores in Social Media (TSM) Algorithm and Application to Advertising Practice and Research,” Journal of Advertising, 46(2), 269-282.
https://doi.org/10.1080/00913367.2017.1297272
Kim, Hyejin and Jisu Huh (2017), “Perceived Relevance and Privacy Concern Regarding Online Behavioral Advertising (OBA) and Their Role in Consumer Responses,” Journal of Current Issues and Research in Advertising, 38(1), 92-105.
https://doi.org/10.1080/10641734.2016.1233157
Huh, Jisu (2017), “Considerations for Application of Computational Social Science Research Approaches to Digital Advertising Research,” in Shelly Rodgers and Esther Thorson (Eds.), Digital Advertising: Theory and Research, Routledge, 446-453.
Selected Conference Papers
Sudheendra, Smitha Muthya, Maral Abdollahi, Jisu Huh, and Jaideep Srivastava (2024),
“Understanding Consumers’ Attitude Toward Digital Humans in Influencer Marketing,” presented at the AAAI 2024 Workshop on AI for Digital Humans.
Mooney, James, Josef Woldense, Zheng Robert Jia, Shirley Anugrah Hayati, My Ha Nguyen, Vipul Raheja, and Dongyeop Kang (2024),
“Are LLM Agents Behaviorally Coherent? Latent Profiles for Social Simulation,” presented at the ACM/IEEE Conference on Agent-Based Computational Social Systems (ABCSS), 2024.
Sudheendra, Smitha Muthya, Maral Abdollahi, Dongyeop Kang, Jisu Huh, and Jaideep Srivastava (2024),
“Sentiment and Skepticism Analysis to Understand Consumer Perception of Virtual Influencers in Social Media Advertising,” presented at the ACM/IEEE Conference on Agent-Based Computational Social Systems (ABCSS), 2024.
Garlough-Shah, Gabriel, Jong Inn Park, Shirley Anugrah Hayati, Dongyeop Kang, and Jisu Huh (2024),
“Consumer Engagement With AI-Powered Search Engines and Implications for the Future of Search Advertising,” presented at the Association for Education in Journalism and Mass Communication (AEJMC) Annual Conference, 2024.
Das, Debarati, Ishaan Gupta, Jaideep Srivastava, and Dongyeop Kang (2024),
“Which Modality Should I Use—Text, Motif, or Image? Understanding Graphs with Large Language Models,” Findings of the Association for Computational Linguistics: NAACL 2024.
Lee, Minhwa, Zae Myung Kim, Vivek Khetan, and Dongyeop Kang (2024),
“Human-AI Collaborative Taxonomy Construction: A Case Study in Profession-Specific Writing Assistants,” presented at In2Writing Workshop, ACM CHI Conference on Human Factors in Computing Systems, 2024.
Sudheendra, Smitha Muthya, Maral Abdollahi, Dongyeop Kang, Jisu Huh, and Jaideep Srivastava (2024),
“SkOTaPA: A Dataset for Skepticism Detection in Online Text after Persuasion Attempt,” presented at the Language Resources and Evaluation Conference (LREC), 2024.
Kim, Katie, Bugil Chang, Debarati Das, Smitha Muthya Sudheendra, Jisu Huh, Dongyeop Kang, and Jaideep Srivastava (2023),
“Rebuilding Social Connection and Enhancing Advertising Effects Through the Nostalgic Appeal during the Pandemic,” presented at the Association for Education in Journalism and Mass Communication (AEJMC) Annual Conference, 2023.
Katie Kim, Bugil Chang, Debarati Das, Smitha Sudheendra, Jisu Huh, Dongyeop Kang, and Jaideep Srivastava (2023), “Rebuilding Social Connection and Enhancing Advertising Effects Through the Nostalgic Appeal during the Pandemic” presented at Association for Education in Journalism and Mass Communication (AEJMC), Washington, DC, August, 2023.
Xu, Hao, Smitha Muthya Sudheendra, Jisu Huh, Aadesh Salecha, and Jaideep Srivastava (2022), “Public’s Discrete Emotions during the COVID-19 and Impacts on Their Coping Behaviors in the U.S.,” International Communication Association (ICA) Annual Conference, May 2022, Paris, France.
Abdollahi, Maral, Smitha Sudheendra, Wonsun Shin, Jisu Huh, and Jaideep Srivastava (2022), "Virtual Influencer Marketing - Ready for Prime Time?" American Academy of Advertising (AAA) Annual Conference, March 2022, St. Petersburg, FL.
Wonsun, Shin, Eunah Kim, and Jisu Huh (2022), "How Much Is Too Much? Young Adults' Acceptance of Data-Based Ad Personalization," American Academy of Advertising (AAA) Annual Conference, March 2022, St. Petersburg, FL.
Abdollahi, Maral, Smitha Sudheendra, Wonsun Shin, Jisu Huh, and Jaideep Srivastava (2021), “Sell, Ignore, or Address? Examining Consumers’ Emotional Responses to Different Types of Social Media Influencers’ Posts During the COVID-19 Outbreak,” Association for Education in Journalism and Mass Communication (AEJMC) Annual Conference, August 2021, Virtual.
Kim, Eunah and Jisu Huh (2021), “Intentional Ad-Viewing to Support Video Creators on Digital Video-Sharing Platforms,” International Conference on Research in Advertising (ICORIA), June 2021, Virtual.
Abdollahi, Maral, Smitha Sudheendra, Wonsun Shin, Jisu Huh, and Jaideep Srivastava (2021), “How Real is Virtual? Can Virtual Influencers Compete with Humans?” International Conference on Research in Advertising (ICORIA), June 2021, Virtual
Kim, Eunah and Jisu Huh (2021), “I’m Watching This Ad So You Can Make More Money That You Deserve!”: Voluntary Ad-Viewing on YouTube,” American Academy of Advertising (AAA) Annual Conference, March 2021, Virtual.
Kim, Eunah, Debarati Das, Jisu Huh and Jaideep Srivastava (2021), “Consumer Responses to Gender-Targeted Advertising: Computational Research Analyzing the 2020 Super Bowl Commercials,” American Academy of Advertising (AAA) Annual Conference, March 2021, Virtual.
Abdollahi, Maral, Wonsun Shin, Smitha Sudheendra, Jisu Huh, and Jaideep Srivastava (2021), “Evoking Empathy, Seeking Solidarity, or Aspiring Normalcy: Which Appeals Better to SMI Followers During the Pandemic?” American Academy of Advertising (AAA) Annual Conference, March 2021, Virtual.
Abdollahi, Maral, Debarati Das, Xinyu Lu, Jisu Huh, and Jaideep Srivastava (2020), “Effects of Consumers’ Affective States on Ad Attention and Evaluation: A Hybrid Research Approach,” 2020 Association for Education in Journalism and Mass Communication (AEJMC) Annual Conference, August 2020, Virtual.
Xu, Hao, Jisu Huh, Smitha Muthya Sudheendra, Debarati Das, and Jaideep Srivastava (2020), “Publics’ Emotional Reactions and Acceptance of Organizational Crisis Response in the Case of Boeing 737 MAX Crisis,” 2020 Association for Education in Journalism and Mass Communication (AEJMC) Annual Conference, August 2020, Virtual.
Kim, Jisu and Jisu Huh (2020), “Audience Engagement with Individual News Organizations and Their News Content, and Influencing Factors,” 2020 Association for Education in Journalism and Mass Communication (AEJMC) Annual Conference, August 2020, Virtual.
Strycharz, Joanna, Jisu Huh, and Xinyu Lu (2020), “Trust in Digital Media Technology Companies: Influencing Factors and Impact on Consumers' Personal Information Sharing,” 2020 International Communication Association (ICA) Annual Conference, May 2020, Gold Coast, Australia.
Kim, Hyejin, Euna Mehnaz Khan, Jisu Huh, and Jaideep Srivastava (2020), “How to Fight Negative Rumors with Trust-Based Rumor-Refutation Strategy: A Multi-Method Approach Applying the Trust Scores in Social Media (TSM) Algorithm,” 2020 American Academy of Advertising (AAA) Annual Conference, March 2020, San Diego, CA.
Lu, Xinyu, Debarati Das, Jisu Huh, and Jaideep Srivastava (2020), “The Impact of Consumers’ Temporary Affective States on Attention and Reaction to Ads,” 2020 American Academy of Advertising (AAA) Annual Conference, March 2020, San Diego, CA.
Kim, Eunah and Jisu Huh (2020), “Effects of Autoplay Video Ads in Mobile Apps: Comparing Sound-on and Sound-off Ads,” 2020 American Academy of Advertising (AAA) Annual Conference, March 2020, San Diego, CA.
Lu, Xinyu, Jisu Huh, Debarati Das, Bhavtosh Rath, Xinyu Lu, and Jaideep Srivastava (2019), “Effects of Consumers’ Affective States on Attention to and Evaluation of Ads: A Computational Research Approach Analyzing Social Media Data,” 2019 International Conference on Research in Advertising (ICORIA), June 2019, Krems, Austria.
Kim, Eunah and Jisu Huh (2019), “Effects of Autoplay Video Ads in Mobile Apps: Comparing Sound-on and Sound-off Ads,” 2019 International Conference on Research in Advertising (ICORIA), June 2019, Krems, Austria.
Pfeuffer, Alexander and Jisu Huh (2019), “Effects of Different Sponsorship Disclosure Message Types on Consumers’ Trust and Attitudes toward Sponsored eWOM,” 2019 International Conference on Research in Advertising (ICORIA), June 2019, Krems, Austria.
Pfeuffer, Alexander and Jisu Huh (2019), “The Effects of Sponsorship Disclosure in eW and Underlying Mechanism,” 2019 American Academy of Advertising (AAA) Annual Conference, March 2019, Dallas, TX.
Huh, Jisu, Hyejin Kim, Bhavtosh Rath, Xinyu Lu, and Jaideep Srivastava (2018), “You Reap Where You Sow and Trust Is the Key to Successful Seeding: Computational Research Applying the Trust Scores in Social Media (TSM) Algorithm,” 2018 American Academy of Advertising (AAA) Conference, March 2018, New York, NY.
Kim, Hyejin, Bhavtosh Rath, Jisu Huh, and Jaideep Srivastava (2017), “Identifying Power Users for Viral Ad Diffusion in Social Networks: Applying the Trust Scores in Social Media (TSM) Algorithm” 2017 International Conference on Research in Advertising (ICORIA), June 2017, Ghent, Belgium.
Roy, Atanu, Chandrima Sarkar, Jaideep Srivastava, and Jisu Huh, (2016), “Trustingness & Trustworthiness: A Pair of Complementary Trust Measures in a Social Network,” 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 2016, San Francisco, CA.
Huh, Jisu and Alexander Pfeuffer (2016), “Antecedents and Consequence of Consumer Trust in Commercial Websites,” 2016 International Conference on Research in Advertising (ICORIA), July 2016, Ljubljana, Slovenia.
Pfeuffer, Alexander, Xinyu Lu, Yiran Zhang, and Jisu Huh (2016), “Effect of Sponsorship Disclosure in YouTube Product Reviews and the Moderating Role of Viewers’ Expectancy,” 2016 International Conference on Research in Advertising (ICORIA), July 2016, Ljubljana, Slovenia.
Dissertations
Bhavtosh Rath (2020), Epidemiology Inspired Framework for False Information Mitigation in Social Networks (Doctoral dissertation, University of Minnesota)
Kim, Hyejin (2019), The Role of Trust in Rumor Suppression on Social Media: A Multi-method Approach Applying the Trust Scores in Social Media (TSM) Algorithm (Doctoral dissertation, University of Minnesota).
Kim, Jisu (2019), Effects of Incorporating Citizen-Eyewitness Images into the News on Audience Trust in News Organizations and News Engagement (Doctoral dissertation, University of Minnesota).
Lu, Xinyu (2019), The Effects of Consumers’ Affect on Attention and Reaction to Ads (Doctoral dissertation, University of Minnesota).
Pfeuffer, Alexander (2018), The Effects and Underlying Mechanisms of Sponsorship Disclosure in eWOM (Doctoral dissertation, University of Minnesota).