“Teens are from Mars, Adults are from Venus”: Analyzing and Predicting Age Groups with Behavioral Characteristics in Instagram

Conference · Wed Jun 22 00:00:00 EDT 2016

DOI:https://doi.org/10.1145/2908131.2908160· OSTI ID:1339892

Han, Kyungsik; Lee, Sanghack; Jang, Jin; Jung, Yong; Lee, Dongwon

We present behavioral characteristics of teens and adults in Instagram and prediction of them from their behaviors. Based on two independently created datasets from user profiles and tags, we identify teens and adults, and carry out comparative analyses on their online behaviors. Our study reveals: (1) significant behavioral differences between two age groups; (2) the empirical evidence of classifying teens and adults with up to 82% accuracy, using traditional predictive models, while two baseline methods achieve 68% at best; and (3) the robustness of our models by achieving 76%—81% when tested against an independent dataset obtained without using user profiles or tags.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1339892
• Report Number(s): PNNL-SA-116295
• Resource Relation: Conference: Proceedings of the 8th ACM Conference on Web Science (WebSci 2016), May 22-25, 2016, Hannover, Germany, 35-44
• Country of Publication: United States
• Language: English

Related Subjects

Teens in social media
behavioral patterns and detection of teens in social media
comparative analysis