"5 graphs about reporting (POC: ████): I looked back at some survey data from the Negative Experiences survey (NETS) I ran in May, focusing on the question of whether people reported the negative experience that they had ('Did you report this problem to Instagram?'). I found that intensity predicts self-reported reporting: more intense problem types have a higher self-reported report rate. Furthermore, there are three distinct clusters of problems: 1) low-intensity & low-report (in blue), 2) high-intensity & high-report (in purple), and 3) very high-intensity yet only medium-report (in pink) — this outlier group contains seeing others getting bullied and seeing SSI content, which may be problems where witnesses aren't sure that it's their place to intervene despite being very upset."
"Feedback on Restrict: A mixed methods study on the use and usability of Restrict (POC: ████): The goal of this research was to understand the use and impact of Restrict after launching to 5% English speakers worldwide. Overall, we found that users: 1) used Restrict primarily in response to unwanted contacts and insults against known actors, 2) Compared to Block, Restrict was harder to find - Users commonly discovered Restrict in Profile when looking for block, 3) Compared to Block, Restrict was significantly harder to understand and was a key barrier to use. In interviews, most users could not fully describe how Restrict worked. Success was commonly attributed to functions not included in Restrict (e.g., decreased visibility or inability to DM)."
[Upcoming Research]:
"Bullying on Direct survey (POC ████) - The top surface for experiencing bullying is Direct. What does bullying on Direct look like? This project is aimed at sizing different bullying patterns on Direct — what types of bullying occur, how much bullying is from known contacts vs. strangers, where bullying originates from (entry point), how much involves rich media, and what tools people engage when they're bullied."
Meta & Children's Online Safety