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2. Research: rural climate change opinions are more complicated than you might think
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Melotte, Sarah (author)
- Format:
- Online article
- Publication Date:
- 2022-08-25
- Published:
- United States: The Daily Yonder
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 205 Document Number: D12615
- Journal Title:
- Journal of Extension
- Journal Title Details:
- Online Article
- Notes:
- 6 pgs, A study showed that Indiana’s rural populations skepticism of climate change is complex. Some of it can be associated with a sense of being ignored and blamed for climate change woes.
3. The State and Future of Smart Agriculture: Insights from mining social media
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Ofori, Martinson (author) and El-Gayar, Omar (author)
- Format:
- Conference paper
- Publication Date:
- 2019-12
- Published:
- United States: IEEE
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12222
- Journal Title:
- 2019 IEEE International Conference on Big Data (Big Data)
- Notes:
- 10 pages, Abstract— Smart agriculture involves the use of technology such as drones, GPS, robotics, IoT, AI, big data, and solar energy to improve farming practices. As with any disruptive innovation, however, stakeholder expectations can be misaligned from what the innovation can actually deliver. There can also be varying perspectives on what the innovation entails, related topics of interest, and impediments to large scale adoption. This study examines public perception of smart agriculture and its perceived drivers and challenges as present in social media discourse. We collected online posts from Twitter, Reddit, forums, online news and blogs between January 2010 and December 2018 for analysis. Results show that 38% of social media posts contained emotion with 52% joy, 21% anger and 12% sadness. Through topic analysis, we discovered seven key drivers and challenges for smart agriculture which included: enabling technologies, data ownership and privacy, accountability and trust, energy and infrastructure, investment, job security, and climate change.