Exploring Usage Patterns of News and Information Sources among Ohio Residents

Authors

DOI:

https://doi.org/10.5032/jae.v67i3.3349

Keywords:

Media Usage Patterns, Media System Dependency, New Media, Traditional Media

Abstract

To navigate everyday issues such as food safety, climate change, water quality, and sustainable practices, credible, accessible, and timely information is essential. Our study assessed how Ohio residents use different news and information sources through the lens of media system dependency theory. We also examined how age, gender, income, community type, and education influence dependency on three types of information sources: traditional media (television, radio, newspapers), new media (websites, social media), and interpersonal sources (family and friends, Extension agents). Using a quantitative survey, data were collected from 515 Ohio residents and analyzed using descriptive statistics and linear regression methods. Results revealed that traditional media were the most frequently used source, whereas interpersonal sources were used the least. Regression results showed that dependency on different media sources is influenced by age and gender. Younger participants relied more on new media, particularly social media, whereas older participants mostly used traditional media. Gender differences were significant only for traditional media; females were less likely than males to use these sources and more likely to rely on new media. Findings suggest that as people rely on different combinations of sources, communication strategies should be tailored to diverse, socio-demographically defined audiences. In particular, age and gender differences should be considered when designing communication strategies. Future research should differentiate between information sources, channels, and the context of the information. Research should also incorporate additional factors such as media literacy, trust in media, and media-specific engagement to inform more customized content delivery.

Downloads

Download data is not yet available.

References

Al-Zoubi, A. (2024). Digital technology and changes in media consumption: A case study of smartphone and app usage. In B. Alareeni & A. Hamdan (Eds.), Technology: Toward business sustainability, 433–444. Springer. DOI: https://doi.org/10.1007/978-3-031-54019-6_39

Ball-Rokeach, S. J., & DeFleur, M. L. (1976). A dependency model of mass-media effects. Communication Research, 3(1), 3–21. https://doi.org/10.1177/009365027600300101 DOI: https://doi.org/10.1177/009365027600300101

Ball-Rokeach, S. J., Power, G. J., Guthrie, K. K., & Waring, H. R. (1990). Value-framing abortion in the United States: An application of media system dependency theory. International Journal of Public Opinion Research, 2(3), 249–273. https://doi.org/10.1093/ijpor/2.3.249 DOI: https://doi.org/10.1093/ijpor/2.3.249

Celebi, S. (2016). Digitalized youth, knowledge gap, and digital divide: A study on youngsters’ media use for obtaining daily news. Sociology International, 9(2), 159–173. DOI: https://doi.org/10.18094/si.17886

Charanza, A. D., & Naile, T. L. (2012). Media dependency during a food safety incident related to the U.S. beef industry. Journal of Applied Communications, 96(3). https://doi.org/10.4148/1051-0834.1145 DOI: https://doi.org/10.4148/1051-0834.1145

Cobern, W. W., & Adams, B. A. J. (2020). Establishing survey validity: A practical guide. International Journal of Assessment Tools in Education, 7(3), 404–419. https://doi.org/10.21449/ijate.781366 DOI: https://doi.org/10.21449/ijate.781366

Colussi, J., Morgan, E. L., Schnitkey, G. D., & Padula, A. D. (2022). How communication affects the adoption of digital technologies in soybean production: A survey in Brazil. Agriculture, 12(5), 611. https://doi.org/10.3390/agriculture12050611 DOI: https://doi.org/10.3390/agriculture12050611

Diamantopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269–277. https://doi.org/10.1509/jmkr.38.2.269.18845 DOI: https://doi.org/10.1509/jmkr.38.2.269.18845

Drew, C. (2023, May 4). Traditional media: 10 examples and definition. Helpful Professor. https://helpfulprofessor.com/traditional-media-examples/

Fleming, K. (2014). Uses, dependency model remains useful framework. Newspaper Research Journal, 35(3), 22–34. https://doi-org.10.1177/0739532914035003 DOI: https://doi.org/10.1177/073953291403500303

Gamillscheg, P., Mayer, S., Pietrzak-Franger, M., Hilmar, C., Lange, A., Simon, J., & Łaszewska, A. (2024). Understanding the associations between information sources, sociodemographics, and views on public health measures: evidence from the COVID-19 pandemic in Austria. BMC Public Health, 24(1), 1576. https://doi-org.10.1186/s12889-024-19061-0 DOI: https://doi.org/10.1186/s12889-024-19061-0

Geers, S. (2020). News consumption across media platforms and content: A typology of young news users. Public Opinion Quarterly, 84(S1), 332–354. https://doi.org/10.1093/poq/nfaa010 DOI: https://doi.org/10.1093/poq/nfaa010

Hall, K., & Rhoades, E. (2010). Influence of subjective norms and communication preferences on grain farmers’ attitudes toward organic and non-organic farming. Journal of Applied Communications, 94(3). https://doi.org/10.4148/1051-0834.1192 DOI: https://doi.org/10.4148/1051-0834.1192

Hosmer, D. W., Jr., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.). Wiley. DOI: https://doi.org/10.1002/9781118548387

Lee, S. K., Kim, K. S., & Koh, J. (2016). Antecedents of news consumers’ perceived information overload and news consumption pattern in the USA. International Journal of Contents, 12(3), 1–14. https://doi.org/10.5392/IJoC.2016.12.3.001 DOI: https://doi.org/10.5392/IJoC.2016.12.3.001

Li, Z. (2023). Shaping the media landscape: Exploring media user consumption in the age of social media. Journal of Innovation and Development, 4(3), 68–71. https://doi.org/10.54097/jid.v4i3.13233 DOI: https://doi.org/10.54097/jid.v4i3.13233

Loveless, M. (2008). Media dependency: Mass media as sources of information in the democratizing countries of Central and Eastern Europe. Democratization, 15(1), 128–144. https://doi.org/10.1080/13510340701770030 DOI: https://doi.org/10.1080/13510340701770030

Lowrey, W. (2004). Media dependency during a large-scale social disruption: The case of September 11. Mass Communication and Society, 7(3), 335–357. https://doi.org/10.1207/s15327825mcs0703_5 DOI: https://doi.org/10.1207/s15327825mcs0703_5

Mbombo, M. (2021). Exploring the relevance of print fashion magazines to the digital native generation. (Master’s dissertation). Johannesburg: University of Johannesburg.

Näsi, M., Tanskanen, M., Kivivuori, J., Haara, P., & Reunanen, E. (2021). Crime news consumption and fear of violence: The role of traditional media, social media, and alternative information sources. Crime & Delinquency, 67(4). https://doi-org.10.1177/0011128720922539 DOI: https://doi.org/10.1177/0011128720922539

Ohio Department of Higher Education. (2023). Ohio attainment: 2023 annual report. https://files.eric.ed.gov/fulltext/ED676506.pdf

Park, S., Atkinson, S., Fulton, J., Wong-Parodi, G., & Mani, L. (2024). Communicating in crisis: Community practices of online participation during extreme events. In D. Del Favero, et al. (Eds.), Climate disaster preparedness (pp. 199-211). Springer. https://doi.org/10.1007/978-3-031-56114-6_15 DOI: https://doi.org/10.1007/978-3-031-56114-6_15

Pew Research Center. (2025, September 25). News platform fact sheet. https://www.pewresearch.org/journalism/fact-sheet/news-platform-fact-sheet/

Pew Research Center. (2025a September 25). Podcasts and news fact sheet. https://www.pewresearch.org/journalism/fact-sheet/podcasts-and-news-fact-sheet/

Pew Research Center. (2025b, November 20). When Americans say they get news from TV, what do they mean? https://www.pewresearch.org/short-reads/2025/11/20/when-americans-say-they-get-news-from-tv-what-do-they-mean/

Reisdorf, B., Blank, G., Bauer, J. M., Cot10, S. R., Robertson, C., & Knittel, M. (2021). Information-seeking patterns and COVID-19 in the United States. Journal of Quantitative Description: Digital Media, 1, 1–38. https://doi.org/10.51685/jqd.2021.003 DOI: https://doi.org/10.51685/jqd.2021.003

Riffe, D., Lacy, S., & Varouhakis, M. (2008). Media system dependency theory and using the Internet for in-depth, specialized information. Web Journal of Mass Communication Research, 11(1), 1–14.

Rubin, A. M., & Windahl, S. (1986). The uses and dependency model of mass communication. Critical Studies in Media Communication, 3(2), 184–199. https://doi.org/10.1080/15295039609366643 DOI: https://doi.org/10.1080/15295039609366643

Ruth, T. K., Rumble, J. N., & Ellis, J. D. (2018). A model for understanding decision-making related to agriculture and natural resource science and technology. Journal of Agricultural Education, 59(4), 224–238. https://doi.org/10.5032/jae.2018.04224 DOI: https://doi.org/10.5032/jae.2018.04224

Schulz, A., Fletcher, R., & Nielsen, R. K. (2024). The role of news media knowledge for how people use social media for news in five countries.New Media & Society, 26(7), 4056–4077. https://doi.org/10.1177/14614448221108957 DOI: https://doi.org/10.1177/14614448221108957

Sin, S.-C. J., & Lee, C. S. (2015). Hypotheses of information-seeking satisfaction gaps: Demographics, sources usage, and person-source fit. Proceedings of the ASIS&T Annual Meeting, 52(1), 1-4. https://doi.org/10.1002/pra2.2015.1450520100104 DOI: https://doi.org/10.1002/pra2.2015.1450520100104

Singer, L. M., & Alexander, P. (2017). Reading on paper and digitally: What the past decades of empirical research reveal. Review of Educational Research, 87(6), 1007–1041. https://doi.org/10.3102/0034654317722961 DOI: https://doi.org/10.3102/0034654317722961

Solans-Domènech, M., Pons, J. M. V., Adam, P., Grau, J., & Aymerich, M. (2019). Development and validation of a questionnaire to measure research impact. Research Evaluation, 28(3), 253–262. https://doi.org/10.1093/reseval/rvz007 DOI: https://doi.org/10.1093/reseval/rvz007

Thapa, M., Adhikari, S., Specht, A. R., Lawson, C., Rumble, J. N., & Buck, E. B. (2024). Exploring perceptions of Ohio residents on agricultural issues. Journal of Applied Communications, 108(4). https://doi.org/10.4148/1051-0834.2569 DOI: https://doi.org/10.4148/1051-0834.2569

Thapa, M., Lawson, C., Rumble, J. N., Specht, A. R., & Buck, E. (2025, January 30-February 4). Exploring usage patterns of news and information sources among Ohio residents [Paper presentation]. 2025 National Agricultural Communications Symposium, Irving, TX, United States. https://www.nacsweb.org/general-8-1

Thapa, M., Specht, A. R., Ghimire, B., & Ghimire, S. (2026). Decentralized Agricultural Extension System and Job Satisfaction among Extension Agents of Nepal. Journal of International Agricultural and Extension Education, 33(1), 123–141.

Tran, H. L. (2013). Does exposure to online media matter? The knowledge gap and the mediating role of news use. International Journal of Communication, 7, 831–852.

U.S. Census Bureau. (2021, August 25). Ohio population climbs 2.3% from 2010 to 2020. https://www.census.gov/library/stories/state-by-state/Ohio-population-change-between-census-decade.html

Underwood, M., Starzec, K. J., Hill-Sullins, N., & Weaber, R. L. (2024). Print grades prime: A quantitative analysis of producer communication preferences of U.S. beef breed association magazines through the lenses of uses, gratifications, and gatekeeping. Journal of Applied Communications, 108(1). https://doi.org/10.4148/1051-0834.2501 DOI: https://doi.org/10.4148/1051-0834.2501

Vik, P. (2013). Regression, ANOVA, and the general linear model: A statistics primer. Sage Publications. DOI: https://doi.org/10.4135/9781071939024

Whaley, S. R., & Tucker, M. (2004). The influence of perceived food risk and source trust on media system dependency. Journal of Applied Communications, 88(1). https://doi.org/10.4148/1051-0834.1315 DOI: https://doi.org/10.4148/1051-0834.1315

Zhang, X., & Zhong, Z.-J. (2020). Extending media system dependency theory to informational media use and environmentalism: A cross-national study. Telematics and Informatics, 50, 101378. https://doi.org/10.1016/j.tele.2020.101378 DOI: https://doi.org/10.1016/j.tele.2020.101378

Downloads

Published

07/24/2026

How to Cite

Thapa, M., Lawson, C., Rumble, J. N., Specht, A. R., & Buck, E. (2026). Exploring Usage Patterns of News and Information Sources among Ohio Residents. Journal of Agricultural Education, 67(3), Article 7. https://doi.org/10.5032/jae.v67i3.3349

Issue

Section

Journal of Agricultural Education

Most read articles by the same author(s)

1 2 > >>