References
- Anker, A. E., Reinhart, A. M., & Feeley, T. H. (2011). Health information seeking: A review of measures and methods. Patient Education & Counseling, 82, 346–354. doi:https://doi.org/10.1016/j.pec.2010.12.008
- Baby Names 1000. (2015). Uncovering the most gender neutral names [graphical illustrations and numerical data]. Retrieved from http://www.babynames1000.com/gender-neutral/
- CDC. (2017). Adult obesity facts. Retrieved from https://www.cdc.gov/obesity/data/adult.html
- Festinger, L. (1957). A theory of cognitive dissonance. Stanford, CA: Stanford University Press.
- Food Standards Agency. (2009). Attitudes and behaviours towards healthy eating and food safety: A scoping study. Retrieved September 15, 2016, from http://www.food.gov.uk/sites/default/files/multimedia/pdfs/foodandyouscoping.pdf
- Frampton, J., & Knobloch-Westerwick, S. (2017, May). Show me the way: Uncertainty, selective exposure, and message efficacy effects during life. Paper presented at the International Communication Association conference, San Diego, CA.
- Global Web Index. (2016). GWI social summary. Retrieved February 27, 2017, from http://insight.globalwebindex.net/hubfs/Reports/GWI-Social-Q4-2016-Summary-Report.pdf?submissionGuid=163b5d18-dc0d-4cbc-acf7-1226e4c90005
- Harrison, K., Taylor, L. D., & Marske, A. L. (2006). Women’s and men’s eating behavior following exposure to ideal-body images and text. Communication Research, 33, 507–529. doi:https://doi.org/10.1177/0093650206293247
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: The Guilford Press.
- Higgins, E. T. (1987). Self-discrepancy: A theory relating self and affect. Psychological Review, 94, 319–340. doi:https://doi.org/10.1037/0033-295X.94.3.319
- Hu, Y., Manikonda, L., & Kambhampati, S. (2014). What we Instagram: A first analysis of Instagram photo content and user types. Retrieved from http://yuhenghu.com/paper/icwsm14.pdf
- Humphreys, L., Von Pape, T., & Karnowski, V. (2013). Evolving mobile media: Uses and conceptualizations of the mobile Internet. Journal of Computer-Mediated Communication, 18, 491–507. doi:https://doi.org/10.1111/jcc4.12019
- Instagram. (2016). Instagram statistics. http://www.instagram.com/press
- Kinard, B. R. (2016). Insta-Grams: The effect of consumer weight on reactions to healthy food posts. Cyberpsychology, Behavior, and Social Networking, 19, 481–486. doi:https://doi.org/10.1089/cyber.2016.0085
- Knobloch-Westerwick, S. (2015a). Choice and preference in media use: Advances in selective-exposure theory and research. New York, NY: Routledge.
- Knobloch-Westerwick, S. (2015b). The selective exposure self- and affect-management (SESAM) model: Applications in the realms of race, politics, and health. Communication Research, 42, 959–985.
- Lee, E., Lee, J., Jang Ho, M., & Sung, Y. (2015). Pictures speak louder than words: Motivations for using Instagram. Cyberpsychology, Behavior, and Social Networking, 18, 552–556. doi:https://doi.org/10.1089/cyber.2015.0157
- Liu, H., Agam, Y., Madsen, J. R., & Kreiman, G. (2009). Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex. Neuron, 62, 281–290. doi:https://doi.org/10.1016/j.neuron.2009.02.025
- Mollen, S., Holland, R. W., Ruiter, R. A. C., Rimal, R. N., & Kok, G. (in press). When the frame fits the social pictures: The effects of framed social norm messages on healthy and unhealthy food consumption. Communication Research. doi:https://doi.org/10.1177/0093650216644648
- National Institutes of Health. (2006). Daily food list. Retrieved from http://appliedresearch.cancer.gov/diet/screeners/daily_food_checklist.pdf
- Nour, M., Chen, J., & Allman-Farinelli, M. (2016). Efficacy and external validity of electronic and mobile phone-based interventions promoting vegetable intake in young adults: A systematic review and meta-analysis. Journal of Medical Internet Research, 18(4). doi:https://doi.org/10.2196/mjir.5082
- Ogden, C. L., Carroll, M. D., Fryar, C. D., & Flegal, K. M. (2015). Prevalence of obesity among adults and youth: United States 2011-2014. NCHS Data Brief, 219.
- Pease, M. E., Brannon, L. A., & Pilling, V. K. (2006). Increasing selective exposure to health messages by targeting person versus behavior schemas. Health Communication, 19, 231–240. doi:https://doi.org/10.1207/s15327027hc1903_5
- Percheski, C., & Hargittai, E. (2011). Health information—Seeking in the digital age. Journal of American College Health, 59, 379–386. doi:https://doi.org/10.1080/07448481.2010.513406
- Pew Research Center. (2016). Social media update 2016. Retrieved from www.pewresearch.org
- Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1993). In search of how people change: Applications to addictive behaviors. Addictions Nursing Network, 5, 2–16. doi:https://doi.org/10.3109/10884609309149692
- Prochaska, J. O., & Velicer, W. F. (1997). The transtheoretical model of health behavior change. American Journal of Health Promotion, 12, 38–48. doi:https://doi.org/10.4278/0890-1171-12.1.38
- Quealy, K., & Sanger-Katz, M. (2016, July 5). Is sushi ‘healthy’? What about granola? Where Americans and nutritionists disagree. The New York Times. Retrieved from http://www.nytimes.com/interactive/2016/07/05/upshot/is-sushi-healthy-what-about-granola-where-americans-and-nutritionists-disagree.html?_r=4
- Schwämmlein, E., & Wodzicki, K. (2012). What to tell about me? Self-presentation in online communities. Journal of Computer-Mediated Communication, 17, 387–407. doi:https://doi.org/10.1111/j.1083-6101.2012.01582.x
- So, J., Kuang, K., & Cho, H. (in press). Information seeking upon exposure to risk messages: Predictors, outcomes, and mediating roles of health information seeking. Communication Research. doi:https://doi.org/10.1177/0093650216679536
- Sponcil, M., & Gitimu, P. (2013). Use of social media by college students: Relationship to communication and self-concept. Journal of Technology Research, 4, 1–13.
- Stroud, N. J. (2008). Media use and political predispositions: Revisiting the concept of selective exposure. Political Behavior, 30, 341–366. doi:https://doi.org/10.1007/s11109-007-9050-9
- Tucker, C. (2011). Public health-related apps growing in number, popularity: Smartphones, tablets used for health. The Nation’s Health, 11(41), 1–15.
- Urista, M. A., Dong, Q., & Day, K. D. (2009). Explaining why young adults use Myspace and Facebook through uses and gratifications theory. Human Communication, 12, 215–229.
- Westerwick, A., Johnson, B. K., & Knobloch-Westerwick, S. (2017). Change your ways: Fostering health attitudes toward change through selective exposure to online health messages. Health Communication, 32, 639–649.
- Whittaker, E., & Kowalski, R. M. (2015). Cyberbullying via social media. Journal of School Violence, 14, 11–29. doi:https://doi.org/10.1080/1538820.2014.949377
- Zepeda, L., & Deal, D. (2008). Think before you eat: Photographic food diaries as intervention tools to change dietary decision making and attitudes. International Journal of Consumer Studies, 32, 692–698. doi:https://doi.org/10.1111/j.1470-6431.2008.00725.x