Change Details

IP Blocks effect a number of communities in the Global South. For experienced editors, working across it is far easier to request a work around for the block, such as IPBlockExempt. However, IP Blocks have acute effects for in person events. During the event, a person who is new to the wikis often experiences the block without As part of the discussions of the unintended effects of IP blocks, we want to better understand the impact of IP Blocks on good faith users attending events. According to @kostajh we have a log of which block message is shared with a user (https://grafana.wikimedia.org/d/000000618/blocknotices?orgId=1&from=1653346560000&to=1716339840000), @Iflorez has documented several ways to both identify the individual users enrolled in Event Registration or historical Events in the Programs and Events Dashboard. In order to determine if the event organizer tools being built by the Campaign Product team might be a viable route for reducing the impact of IP Blocks, we need to better I would minimally like to be able to evaluate the following questions: * What percent of event participants enrolled in an event have experienced an IP Block within a specific window (a month, quarter or year ) of time near when they attended an event? * What percent of event participants experienced an IP Block during an event they were participating in? (might be more complex and require a more complex analysis) * Which geographies have most effected users?

IP Blocks effect a number of communities in the Global South. For experienced editors, it is far easier to request a work around for the block, such as IPBlockExempt on the wikis they are active on. However, IP Blocks have acute effects for in person events. During the event, a person who is new to the wikis often experiences the block without As part of the discussions of the unintended effects of IP blocks, we want to better understand the impact of IP Blocks on good faith users attending events. According to @kostajh we have a log of which block message is shared with a user (https://grafana.wikimedia.org/d/000000618/blocknotices?orgId=1&from=1653346560000&to=1716339840000), @Iflorez has documented several ways to both identify the individual users enrolled in Event Registration or historical Events in the Programs and Events Dashboard. In order to determine if the event organizer tools being built by the Campaign Product team might be a viable route for reducing the impact of IP Blocks, we need to better I would minimally like to be able to evaluate the following questions: * What percent of event participants enrolled in an event have experienced an IP Block within a specific window (a month, quarter or year ) of time near when they attended an event? * What percent of event participants experienced an IP Block during an event they were participating in? (might be more complex and require a more complex analysis) * Which geographies have most effected users? * IF we can divide the data between in-person and online-first events, evaluate how they are differentially impacted?

IP Blocks effect a number of communities in the Global South. For experienced editors, working across it is far easier to request a work around for the block, such as IPBlockExempt on the wikis they are active on. However, IP Blocks have acute effects for in person events. During the event, a person who is new to the wikis often experiences the block without As part of the discussions of the unintended effects of IP blocks, we want to better understand the impact of IP Blocks on good faith users attending events. According to @kostajh we have a log of which block message is shared with a user (https://grafana.wikimedia.org/d/000000618/blocknotices?orgId=1&from=1653346560000&to=1716339840000), @Iflorez has documented several ways to both identify the individual users enrolled in Event Registration or historical Events in the Programs and Events Dashboard. In order to determine if the event organizer tools being built by the Campaign Product team might be a viable route for reducing the impact of IP Blocks, we need to better I would minimally like to be able to evaluate the following questions: * What percent of event participants enrolled in an event have experienced an IP Block within a specific window (a month, quarter or year ) of time near when they attended an event? * What percent of event participants experienced an IP Block during an event they were participating in? (might be more complex and require a more complex analysis) * Which geographies have most effected users? * IF we can divide the data between in-person and online-first events, evaluate how they are differentially impacted?