Interested in what the lab is working on? Or what we have already accomplished? This page includes a complete list of our publications or articles that are in press. You can download all of our papers directly from this page.

In Press

Gong, X., Huskey, R. (conditional acceptance). Media Selection is Highly Predictable, In Principle. Computational Communication Research.

Gong, X. & Huskey, R. (in press). Moving Behavioral Experimentation Online: A Tutorial and Some Recommendations For Drift Diffusion Modeling. American Behavioral Scientist.

Huskey, R. & Schmälzle, R. (in press). Finding Middle Ground In Cognitive Media Psychology. In Shackleford, K. & Bowman, N. D. (Eds.), Oxford Handbook of Media Psychology. (2nd Edition). New York, NY: Oxford University Press.

Gong, X., & Huskey, R. (in press). Computational Modeling Entertainment Media Choice and Decision Making in Communication Science. In Bowman, N. D. (Ed.), DeGruyter Handbook of Entertainment. (Volume 1.). Berlin, Germany: DeGruyter

Schmälzle, R., Wilcox, S., & Huskey, R. (in press). Brain imaging as a window into the biological basis of social cognition and communication. In Reimer, T., van Swol, L., & Florack, A. (Eds), The Routledge Handbook of Communication and Social Cognition. Routledge/Taylor & Francis


Schmälzle, R. & Huskey, R. (2023). Skyhooks, Cranes, and the Construct Dump: An Extension of Boster 2023. Asian Communication Research. 5-15. doi: 10.20879/acr.2023.20.016

Gong, X., Huskey, R., Eden, A., & Ulusoy, E. (2023). Computationally Modeling Mood Management Theory: A Drift-Diffusion Model of People’s Preferential Choice for Valence and Arousal in Media. Journal of Communication. doi: 10.1093/joc/jqad020

Schmälzle, R. & Huskey, R. (2023). Integrating Media Content Analysis, Reception Analysis, and Media Effects Studies. Frontiers in Neuroscience. 17, 1-17. doi: 10.3389/fnins.2023.1155750

Gong, X., Huskey, R. , Xue, H., Shen, C., & Frey, S. (2023). Broadcast information diffusion processes on social media networks: Exogenous events lead to more integrated public discourse. Journal of Communication, 73(3), 247–259. doi:


Kotler, S., Mannino, M., Kelso, S., & Huskey, R. (2022). First Few Seconds for Flow: A Comprehensive Proposal of the Neurobiology and Neurodynamics of State Onset. Neuroscience & Biobehavioral Reviews. 143, 104956. doi: 10.1016/j.neubiorev.2022.104956

Huskey, R. (2022). Understanding how we create understanding. Journal of Communication. Online Publication. doi: 10.1093/joc/jqab053

Bago, B., Aczel, B., Kekecs, Z., Protzko, J., Kovacs, M., . . . , Huskey, R., . . . & Chartier, C. R. (2022). Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample. Nature Human Behaviour. 6, 880–895. doi: 10.1038/s41562-022-01319-5

Huskey, R., Keene., J. R., Wilcox, S., Gong., X. J., Adams, R., & Najera, C. J. (2022). Flexible and Modular Brain Network Dynamics Characterize Flow Experiences During Media Use: A Functional Magnetic Resonance Imaging Study. Journal of Communication, 72(1), 6–32. doi: 10.1093/joc/jqab044


Bullock, O. M., Shulman, H. C., & Huskey, R. (2021). Narratives Are Persuasive Because They Are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion. Frontiers in Communication. 6, 1–12. doi: 10.3389/fcomm.2021.719615

Wilcox, S., Huskey, R., & DeAndrea, D. (2021). Attitude consistent health messages about electronic cigarettes increase processing time: Perceiving message senders as socially close increases message recall. Journal of Media Psychology. Theories, Methods, and Applications, 34(4), 216–229. doi: 10.1027/1864-1105/a000312

Huskey, R. (2021). Gossip: More than just trash talkCurrent Biology, 31(12), R781–R786. doi: 10.1016/j.cub.2021.04.048

Calcagnotto, L. A., Huskey, R., & Kosicki, G. M. (2021). The Accuracy and Precision of Measurement: Tools for Validating Reaction Time Stimuli. Computational Communication Research, 3(2), 131-151. doi: 10.5117/CCR2021.2.001.CALC

Dienlin, T., Johannes, N., Bowman, N. D., Masur, P. K., Engesser, S., …, Huskey, R., …, & Vreese C. D. (2021). An agenda for open science in communication. Journal of Communication, 71(1), 1–26. doi: 10.1093/joc/jqz052


Huskey, R., Turner, B. O., & Weber, R. (2020). Individual differences in brain responses: New opportunities for tailoring health communication campaigns. Frontiers in Human Neuroscience, 14, 1-17. doi: 10.3389/fnhum.2020.565973

Huskey, R., Wilcox, S., Clayton, R., & Keene, J. R. (2020). The Limited Capacity Model of Motivated Mediated Message Processing: Meta-analytically summarizing two decades of research. Annals of the International Communication Association, 44(4), 322–349. doi: 10.1080/23808985.2020.1839939

Hopp, F. R., Fisher, J. T., Cornell, D., Huskey, R., & Weber, R. (2020). The extended moral foundations dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text. Behavior Research Methods, 3(1), 232-246. doi: 10.3758/s13428-020-01433-0

Huskey R., Couture Bue, A., Eden, A., Grall, C., Meshi, D., … & Wilcox, S. (2020). Marr’s Tri-Level Framework Integrates Biological Explanation Across Communication Subfields. Journal of Communication, 70(3), 356–378. doi: 10.1093/joc/jqaa007

Fisher, J., Huskey, R., Keene, J., & Weber, R. (2020). The Life of a Model: Commentary on “How the LC4MP became the DHCCST”. In Weber, R., & Floyd, K., (Eds.) Handbook of Communication Science and Biology. (Volume 1. pp. 409-415). New York, NY: Routledge


Nabi, R., Huskey, R., Nicholls, S., Keblusek, L., & Reed, M. (2019). When audiences become advocates: Self-induced behavior change through health message posting in social media. Computers in Human Behavior, 99, 260-267. doi: 10.1016/j.chb.2019.05.030

Turner, B., Huskey, R., & Weber, R (2019). Charting a Future for fMRI in Communication Science. Communication Methods and Measures, 13(1), 1-18. doi: 10.1080/19312458.2018.1520823


Fisher, J., Huskey, R., Keene, J., & Weber, R. (2018). The Limited Capacity Model of Motivated Mediated Message Processing: Looking to the future. Annals of the International Communication Association, 42(4), 291-315. doi: 10.1080/23808985.2018.1534551

Fisher, J., Keene, J., Huskey, R., & Weber, R. (2018). The Limited Capacity Model of Motivated Mediated Message Processing: Taking stock of the past. Annals of the International Communication Association, 42(4), 270-290. doi: 10.1080/23808985.2018.1534552

Huskey, R., Wilcox, S., & Weber, R. (2018). Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media UseJournal of Communication. 68(5), 872-895. doi: 10.1093/joc/jqy043

Huskey, R., Craighead, B., Miller, M. B., & Weber, R. (2018). Does Intrinsic Reward Motivate Cognitive Control? A Naturalistic-fMRI Study Based on the Synchronization Theory of Flow. Cognitive, Affective, and Behavioral Neuroscience, 18(5), 902-924. doi: 10.3758/s13415-018-0612-6

Weber, R., Alicea, B., Huskey, R., & Mathiak. K. (2018). Network Dynamics of Attention During a Naturalistic Behavioral Paradigm. Frontiers in Human Neuroscience, 12(182), 1-14. doi: 10.3389/fnhum.2018.00182

Huskey, R., Bowman, N., Eden, A., Grizzard, M., Hahn, L., Lewis, R., Matthews, N., Tamborini, R., Walther, J. B., & Weber, R. (2018). Things we know about media and morality. Nature Human Behaviour, 2, 315. doi: 10.1038/s41562-018-0349-9

Weber, R., Mangus, J. M., Huskey, R., Hopp, F. R., Amir, O., Swanson, R., Gordon, A. S., Khooshabeh, P., Hahn, L., & Tamborini, R. (2018). Extracting latent moral information from text narratives: Relevance, challenges, and solutions. Communication Methods and Measures, 12(2-3), 119-139. doi: 10.1080/19312458.2018.1447656


Huskey, R., Mangus, J. M., Turner, B. O., & Weber, R. (2017). The persuasion network is modulated by drug-use risk and predicts anti-drug message effectiveness. Social Cognitive and Affective Neuroscience, 12(12), 1902 – 1915. doi: 10.1093/scan/nsx126

Swanson, R., Gordon, A. S., Khooshabeh, P., Sagae, K., Huskey, R., Mangus, J. M., Amir, O., & Weber, R. (2017). An empirical analysis of subjectivity and narrative levels in personal weblog storytelling across cultures. Dialogue and Discourse, 8(2), 105 – 128. doi: 10.5087/dad.2017.205

Huskey, R., Craighead, B., & Weber, R. (2017). Evolutionary approaches to media processes and effects. In P. Roessler, C. Hoffner, & L. van Zoonen (Eds.), The international encyclopedia of media effects. Hoboken, NJ: John Wiley & Sons, Inc.

Weber, R., Huskey, R., & Craighead, B. (2017). Flow experiences and well­being: A media neuroscience perspective. In M. B. Oliver & L. Reinecke (Eds.), Handbook of media use and well­being: International perspectives on theory and research on positive media effects. (Volume 1.pp. 183 – 196). New York, NY: Routledge.


Huskey, R. (2016). Beyond blobology: Using psychophysiological interaction analyses to investigate the neural basis of human communication phenomena. In S. Kubitschko & A. Kaun (Eds.), Innovative methods in media and communication research. (Volume 1. pp.123 – 138). London, UK: Palgrave Macmillan.


Behr, K. M., Huskey, R., & Weber, R. (2015). Creative interactivity: Customizing and creating game content. In G. Green & J. C. Kaufman (Eds.), Video games and creativity: Explorations in creativity research (Volume 1. pp. 285 – 296). New York, NY: Academic Press.

Craighead, B., Huskey, R., & Weber, R. (2015). Video game addiction: What can we learn from a media neuroscience perspective? Revista Argentina de Ciencias del Comportamiento, 7(3), 119-131.

Weber, R., Eden, A., Huskey, R., Mangus, J. M., & Falk, E. (2015). Bridging media psychology and cognitive neuroscience: Challenges and opportunities. Journal of Media Psychology. Theories, Methods, and Applications, 27(3), 146–156. doi: 10.1027/1864­1105/a000163

Weber, R., Mangus, J. M., & Huskey, R. (2015). Brain imaging in communication research: A practical guide to understanding and evaluating fMRI studies. Communication Methods and Measures, 9(1–2), 5–29. doi: 10.1080/19312458.2014.999754

Weber, R., Huskey, R., Mangus, J. M., Westcott-­Baker, A., & Turner, B.(2015). Neural predictors of message effectiveness during counterarguing in anti­-drug campaigns. Communication Monographs, 82(1), 4–30.doi:10.1080/03637751.2014.971414


Huskey, R., Adams, A., Craighead, B., & Weber, R. (2014). Evolution rules: Can signaling theory predict aggressive behaviors in video games? In A. V. Stavros (Ed.), Advances in communications and media research (Volume 10. pp. 47 – 63). Hauppauge, NY: Nova Science Publishers.