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YouTube as a Source of Information in Understanding Autonomous Vehicle Consumers: Natural Language Processing Study
12 references·1 citing·48 second hop
YouTube as a Source of Information in Understanding Autonomous Vehicle Consumers: Natural Language Processing Study (2019)YouTube as a Source of Information in Und…Trends Over Two Decades of Transportation Research (2017)Trends Over Two Decades of Tr…Trends in Transportation Research (2017)Trends in Transportation Rese…Text Mining with R: A Tidy Approach (2017)Text Mining with R: A Tidy Ap…Discovering themes and trends in transportation research using topic modeling (2017)Discovering themes and trends…Text Mining and Topic Modeling of Compendiums of Papers from Transportation Research Board Annual Meetings (2016)Text Mining and Topic Modelin…Motorists' preferences for different levels of vehicle automation (2015)Motorists' preferences for di…Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents (2014)Public Opinion on Automated D…A Survey of Public Opinion about Autonomous and Self-Driving Vehicles in the U.S., the U.K., and Australia (2014)A Survey of Public Opinion ab…How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter? (2012)How Does Brand-related User-g…WHAT THE HASHTAG? (2011)WHAT THE HASHTAG?Using Video to Build an Organization's Identity and Brand: A Content Analysis of Nonprofit Organizations' YouTube Videos (2011)Using Video to Build an Organ…Text Mining Infrastructure in R (2008)Text Mining Infrastructure in…AI Influencers in Advertising: The Role of AI Influencer-Related Attributes in Shaping Consumer Attitudes, Consumer Trust, and Perceived Influencer–Product Fit (2023)AI Influencers in Advertising…Social Research Methods: Qualitative and Quantitative Approaches (1991)Social Research Methods: Qualitative and Quantitative Approaches (2002)Social Network Sites: Definition, History, and Scholarship (2007)The use of Twitter hashtags in the formation of ad hoc publics (2011)Twitter use in election campaigns: A systematic literature review (2015)The Logic of Connective Action: Digital Media and the Personalization of Contentious Politics (2016)The Presentation of Self in Everyday Life. 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References

  • 2014Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents1,382 cited
  • 2008Text Mining Infrastructure in R1,269 cited
  • 2012How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?1,080 cited
  • 2017Text Mining with R: A Tidy Approach565 cited
  • 2011WHAT THE HASHTAG?490 cited
  • 2014A Survey of Public Opinion about Autonomous and Self-Driving Vehicles in the U.S., the U.K., and Australia400 cited
  • 2017Discovering themes and trends in transportation research using topic modeling297 cited
  • 2011Using Video to Build an Organization's Identity and Brand: A Content Analysis of Nonprofit Organizations' YouTube Videos160 cited
  • 2015Motorists' preferences for different levels of vehicle automation93 cited
  • 2016Text Mining and Topic Modeling of Compendiums of Papers from Transportation Research Board Annual Meetings65 cited
  • 2017Trends in Transportation Research48 cited
  • 2017Trends Over Two Decades of Transportation Research18 cited

Cited by

  • 2023AI Influencers in Advertising: The Role of AI Influencer-Related Attributes in Shaping Consumer Attitudes, Consumer Trust, and Perceived Influencer–Product Fit96 cited

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