Presenter(s): Kelly Kondo
Co Presenter(s): Bella Conferti, Yuhui Li, Yuwei Shi, Tyler White
Faculty Mentor(s): David Markowitz
Poster 99
Session: Social Sciences & Humanities
In this study we analyzed how Twitter engagements, such as likes and retweets, differed between local Eugene, Oregon restaurants and comparable national chains. Drawing on Construal Level Theory from psychology (Trope & Liberman, 2010), which suggests that people are more psychologically attached to proximate objects rather than distant objects, we predicted that the local restaurants would have greater online engagement than national restaurants. To test this, we matched local and national chains based on ten food categories (local chain/national chain): (1) Track Town Pizza/Pizza Hut; (2) Little Big Burger/Wendy’s; (3) Joe’s Burgers/Burger King; (4) Burrito Boy/Qdoba; (5)Ambrosia/Olive Garden; (6) The Sandwich League/Panera; (7) Dutch Bros Coffee/Starbucks; (8) Off the Waffle/IHOP; (9) Elk Horn Brewery/BJ’s Restaurant & Brewhouse; and (10) Prince Pucklers/Baskin-Robbins. We used data science techniques in the R statistical environment to automatically scrape engagement data from each chain’s Twitter feed. The results suggest that local restaurants have significantly more likes proportional to their follower count compared to national restaurants (p < .001). However, there was no significant difference in the average number of retweets proportional to followers between local and national restaurants (p = .31). This discrepancy between likes and retweets likely stems from different media affordances and how these features contain unique social meaning for users. We will discuss how localness affects the psychological attachment that people have to businesses.