Sentiment Analysis of Human-Arthropod Interactions

dc.contributor.advisorHawn, Chris CH
dc.contributor.authorHolman, Julian Andrew
dc.contributor.departmentGeography and Environmental Systems
dc.contributor.programGeography and Environmental Systems
dc.date.accessioned2022-02-09T15:52:40Z
dc.date.available2022-02-09T15:52:40Z
dc.date.issued2020-01-01
dc.description.abstractHumans' intense fear of spiders is well-known. There are studies that show it exists and theories on why. However, the body of work on how warranted this fear is based on potential harm by spiders is much smaller. Few species pose real danger to humans relative to all worldwide and this handful is not globally distributed. Additionally, due to lacking funding/researchers, there is little knowledge on ranges and distributions of spiders compared to locations of people that fear them. The proliferation of social media provides new opportunities for mapping and opinion data collection. Methods were synthesized to collect and analyze point data geolocated inside the United States from Twitter (Chapter 2) and iNaturalist (Chapter 3). Literature was reviewed to find which spiders are medically-important: those generally agreed upon by scientists to have venom likely to harm humans. Data were normalized to account for spatial userbase differences. Most tweets about spiders in the US were posted from major cities during peak spider activity in late spring/early fall. However, geographic locations of these online activities and sentiment of relevant tweets had little overlap with ranges and distributions of spiders that could actually harm them. This implies that many people discuss spiders, often negatively, regardless of their likelihood of encountering any of medical importance. Prior to this research, there has not been a spatially-explicit arachnophobia test. This methodological syntheses constitutes a new paradigm for creating estimate species maps and comparison to opinion data, expanding public outreach and conservation possibilities.
dc.formatapplication:pdf
dc.genretheses
dc.identifierdoi:10.13016/m20ox2-0x66
dc.identifier.other12320
dc.identifier.urihttp://hdl.handle.net/11603/24189
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Geography and Environmental Systems Department Collection
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.sourceOriginal File Name: Holman_umbc_0434M_12320.pdf
dc.subjectbig data
dc.subjectcitizen science
dc.subjectsentiment analysis
dc.subjectsocial media
dc.subjectspecies distribution
dc.subjectspiders
dc.titleSentiment Analysis of Human-Arthropod Interactions
dc.typeText
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