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2. The effects of online video on consumers’ attitudes toward local food
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Qu, Shuyang (author), Rumble, Joy N. (author), Telg, Ricky (author), Lamm, Alexa (author), and University of Florida Iowa State University
- Format:
- Journal article
- Publication Date:
- 2017
- Published:
- United States: New Prairie Press
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 2 Document Number: D10171
- Journal Title:
- Journal of Applied Communications
- Journal Title Details:
- 101(4)
- Notes:
- 22 pages, via online journal, Marketers rate online video as their most utilized content medium. This study used a between-subject control group post-test-only experiment to investigate the effect of three local food messages delivered via online video on U.S. consumers’ attitudes toward local food. The three 30-second videos each featured one of the documented benefits of local food: high quality, support of local economy, and strengthening of social connection. Results indicated all three video treatments yielded a positive attitude toward local food, while respondents in the control group had a neutral attitude. The video treatment featuring local food’s high quality generated a significantly more favorable local food attitude than the other two video treatments. Although the social connection video treatment generated a positive attitude toward local food based on the real limits, it did not significantly differentiate from the control group. Communicators should consider using similar short, online videos for emphasizing the high quality of local food and its support of the local economy to promote local agricultural products. Future research should pair live-action or animated footage with the same messages in the video treatments to identify messages effectiveness. Researchers should also investigate why some individuals respond to local food’s benefit of social connection more readily than the others, and identify strategies to use social connection media frame to promote local food.
3. Utilization of text mining as a big data analysis tool for food science and nutrition
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Tao, Dandan (author), Yang, Pengkun (author), and Feng, Hao (author)
- Format:
- Journal article
- Publication Date:
- 2020
- Published:
- International
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 166 Document Number: D11679
- Journal Title:
- Comprehensive Reviews of Food Science and Food Safety
- Journal Title Details:
- 19 : 875-894
- Notes:
- 20 pages., Via online from the University of Illinois website., Authors' review provided an overview of the data sources, computational methods, and applications of text data in the food industry. Applications of text data analysis were illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer-opinion mining, new-product development, food knowledge discovery, food supply-chain management, and online food systems.