TY - GEN
T1 - Examining Diversity and Fairness Interconnection in Data-Driven Personas
AU - Tamime, Reham Al
AU - Salminen, Joni
AU - Jung, Soon Gyo
AU - Jansen, Bernard
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - As organizations seek to reach and engage diverse social media audiences, creating personas that accurately represent this diversity is becoming progressively important. While creating more personas generally increases the representation of demographic diversity, little is known about the dynamics between persona set size, diversity, and fairness. To study this, we collect user statistics from three organizations’ YouTube and Facebook channels and generate persona sets with varying size. Analyzing the personas’ gender, age, and country, we find that increasing the persona set size correlates with diversity in gender, age, and country. Increasing the number of personas also correlates with age fairness, while the level of diversity correlates with fairness in gender, age, and country. The results imply that organizations would benefit from using data-driven approaches to generate many personas in order to strengthen the outlooks of diversity and fairness, promoting a broader targeting strategies and inclusive design in systems and artifacts.
AB - As organizations seek to reach and engage diverse social media audiences, creating personas that accurately represent this diversity is becoming progressively important. While creating more personas generally increases the representation of demographic diversity, little is known about the dynamics between persona set size, diversity, and fairness. To study this, we collect user statistics from three organizations’ YouTube and Facebook channels and generate persona sets with varying size. Analyzing the personas’ gender, age, and country, we find that increasing the persona set size correlates with diversity in gender, age, and country. Increasing the number of personas also correlates with age fairness, while the level of diversity correlates with fairness in gender, age, and country. The results imply that organizations would benefit from using data-driven approaches to generate many personas in order to strengthen the outlooks of diversity and fairness, promoting a broader targeting strategies and inclusive design in systems and artifacts.
KW - Diversity and fairness trade-offs
KW - Human-computer interaction
KW - Inclusive design
KW - Persona set size assessment
UR - http://www.scopus.com/inward/record.url?scp=86000461746&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-9327-3_32
DO - 10.1007/978-981-97-9327-3_32
M3 - Conference contribution
AN - SCOPUS:86000461746
SN - 9789819793266
T3 - Lecture Notes in Networks and Systems
SP - 389
EP - 419
BT - Intelligent Sustainable Systems - Selected Papers of WorldS4 2024
A2 - Nagar, Atulya
A2 - Jat, Dharm Singh
A2 - Mishra, Durgesh
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th World Conference on Smart Trends in Systems Security and Sustainability, WorldS4 2024
Y2 - 23 July 2024 through 26 July 2024
ER -