Paper Number
ECIS2025-1654
Paper Type
SP
Abstract
Social media platforms use algorithms to personalize user experiences, thereby revolutionizing how people consume information and connect with each other. Yet, the academic understanding of how users make sense of these algorithms is limited. However, this is relevant as algorithm sensemaking affects user behavior. Through in-depth, semi-structured interviews and building on prior work on media folk theories, this study investigates how Instagram users understand the platform’s algorithm, uncovering a new folk theory: Algorithms as being controllable, with users believing their actions shape algorithmic outcomes. However, deeper exploration reveals a lack of awareness about the extent of algorithmic influence on their behavior. By contextualizing and expanding algorithmic folk theories for social media, this study advances theoretical insights into the relationship between algorithm sensemaking, folk theories and user behavior. Furthermore, next steps of the ongoing research project and directions for future research are discussed.
Recommended Citation
Prenga, Xhovana; Horneber, David; and Brechtelsbauer, Bastian, "“Now my Algorithm is Perfect”: How do Instagram Users Make Sense of its Algorithm? – Developing Folk Theories of Social Media Algorithms" (2025). ECIS 2025 Proceedings. 5.
https://aisel.aisnet.org/ecis2025/social_virtual/social_virtual/5
“Now my Algorithm is Perfect”: How do Instagram Users Make Sense of its Algorithm? – Developing Folk Theories of Social Media Algorithms
Social media platforms use algorithms to personalize user experiences, thereby revolutionizing how people consume information and connect with each other. Yet, the academic understanding of how users make sense of these algorithms is limited. However, this is relevant as algorithm sensemaking affects user behavior. Through in-depth, semi-structured interviews and building on prior work on media folk theories, this study investigates how Instagram users understand the platform’s algorithm, uncovering a new folk theory: Algorithms as being controllable, with users believing their actions shape algorithmic outcomes. However, deeper exploration reveals a lack of awareness about the extent of algorithmic influence on their behavior. By contextualizing and expanding algorithmic folk theories for social media, this study advances theoretical insights into the relationship between algorithm sensemaking, folk theories and user behavior. Furthermore, next steps of the ongoing research project and directions for future research are discussed.
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