Quantification of Social Media Influence on Behavior Using Psychophysiological Profiles
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The emergence of social media platforms at the start of this century has led to a transformation in how people consume and share information about the world around them. Since their inception it’s been made clear that this new medium offers opportunities for both promise and peril, a fact that highlights the importance of research into human interactions with and through these social media platforms. The primary goal of this study was to investigate the conditions under which exposure to emotionally charged or controversial social media content can affect users’ opinions. Multiple biological signals including EEG, pupillometry, and heart rate were measured concurrently with participant’s behavioral responses on the social media platform to derive objective measures of emotional valence and arousal. Here we present results of validation testing and preliminary findings from this multi-year project.
KeywordsSocial media simulation EEG Frontal alpha asymmetry Pupillometry Affective neuroscience
The work presented herein was supported by DARPA Contract No. FA865019C68899. The views expressed are those of the author and do not reflect the official policy or position of the DoD or the U.S. Government.
- 6.Cartocci, G., Modica, E., Rossi, D., Inguscio, B.M.S., Aricò, P., Martinez Levy, A.C., Mancini, M., Cherubino, P., Babiloni, F.: Antismoking campaigns’ perception and gender differences: a comparison among EEG indices. Comput. Intell. Neurosci. 7348795 (2019)Google Scholar
- 7.Modica, E., Cartocci, G., Rossi, D., Martinez Levy, A.C., Cherubino, P., Maglione, A.G., Di Flumeri, G., Mancini, M., Montanari, M., Perrotta, D., Di Feo, P., Vozzi, A., Ronca, V., Aricò, P., Babiloni, F.: Neurophysiological Responses to Different Product Experiences. Comput. Intell. Neurosci. 2018, 9616301 (2018)Google Scholar
- 8.Berka, C., Levendowski, D.J., Cvetinovic, M.M., Petrovic, M.M., Davis, G., Lumicao, M.N., Zivkovic, V.T., Popovic, M.V., Olmstead, R.: Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset. Int. J. Hum. Comput. Interact. 17, 151–170 (2004)CrossRefGoogle Scholar
- 9.Berka, C., Levendowski, D.J., Lumicao, M.N., Yau, A., Davis, G., Zivkovic, V.T., Olmstead, R.E., Tremoulet, P.D., Craven, P.L.: EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviat. Space Environ. Med. 78, B231–B244 (2007)Google Scholar
- 14.Reimer, J., McGinley, M.J., Liu, Y., Rodenkirch, C., Wang, Q., McCormick, D.A., Tolias, A.S.: Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex. Nat. Commun. 7 (2016)Google Scholar
- 15.Safaai, H., Neves, R., Eschenko, O., Logothetis, N.K., Panzeri, S.: Modeling the effect of locus coeruleus firing on cortical state dynamics and single-trial sensory processing. PNAS (2015)Google Scholar