Social media data

Susan Grant-Muller

A chapter in Elgar Encyclopedia of Transport and Society, 2025, pp 372-373 from Edward Elgar Publishing

Abstract: Social media apps allow the creation and exchange of user-generated content, with common forms carrying transport content being X (formerly Twitter), Facebook, Instagram and dedicated travel/transport apps. Textual, image and video content are analysed using natural language processing, thematic coding, image object recognition and advanced machine learning. Some may be geotagged, but location and demographics may be estimated. Transport uses include traveller perceptions and choices, real-time information on network conditions/incidents, passenger volumes, peer-to-peer travel advice and customer relations. Access to social media data may be limited due to privacy and commodification, with some key advantages and disadvantages to use.

Keywords: Social media; Textual data; Sentiment analysis; Traveller perceptions; Natural language processing; User-generated content (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035330515
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