| Affiliations: | DeBakey Executive Research Leadership Program |
| Project Leader: | Buffy Mosley, Ph.D. bmosley@tamu.edu Marketing |
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Meeting Times:
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1-2 hours weekly (Thurs) |
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Team Size:
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8
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| Open Spots: | 0 |
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Special Opportunities:
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Outperforming students may be put as co-author in leading scientific journal articles. There may be opportunities for conference participations. Students will get high level exposure to graduate level research, scholarship information, career counseling etc. from the team.
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Team Needs:
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3-8 highly motivated undergraduate students. Marketing and computer science majors are encouraged, but ALL are welcome to apply. Must be available for weekly or bi-weekly meetings. Experience with coding and technical writing is very helpful. Please note this project with likely continue through the summer and fall semester, so a long-term commitment is preferred. Undergraduates should be prepared to complete work on this project in conjunction with their regular coursework. Team members should be willing to read at least 1-2 articles a week, and/or analyze and enter weekly data from social media post (Facebook, Instagram, and Twitter). Team members must be flexible, excited about the research topic, detail oriented, willing to complete data entry tasks. |
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Description:
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What makes a picture capture attention? What makes one image more viral than others? These are the types of question this research project seeks to address. We will use current literature and theory to create various measurements and image classification approaches. Machine learning, coding, and surveys will be used to construct measures and analyze results. Using Facebook, Instagram, and Twitter pages of prominent brands we will assess the efficacy/impact of the various measures on user engagement. |