Proceedings of the ACM on Human-Computer Interaction, 2022
The Negro Motorist Green Book was a publication that offered resources for the Black traveler fro... more The Negro Motorist Green Book was a publication that offered resources for the Black traveler from 1936 to 1966. More than a directory of Black-friendly businesses, it also offered articles that provided insights for how best to travel safely, engagement with readers through contests and invitations for readers to share travel stories, and even civil rights advocacy. Today, a contemporary counterpart to the Green Book is Black Twitter, where people share information and advocate for their community. By conducting qualitative open coding on a subset of Green Book editions as well as tweets from Black Twitter, we explore similarities and overlapping characteristics such as safety, information sharing, and social justice. Where they diverge exposes how spaces like Black Twitter have evolved to accommodate the needs of people in the Black diaspora beyond the scope of physical travel and into digital spaces. Our research points to ways that the Black community has shifted from the physic...
Proceedings of the ACM on Human-Computer Interaction, 2021
The Negro Motorist Green Book was a tool used by the Black community to navigate systemic racism ... more The Negro Motorist Green Book was a tool used by the Black community to navigate systemic racism throughout the U.S. and around the world. Whether providing its users with safer roads to take or businesses that were welcoming to Black patrons, The Negro Motorist Green Book fostered pride and created a physical network of safe spaces within the Black community. Building a bridge between this artifact which served Black people for thirty years and the current moment, we explore Black Twitter as an online space where the Black community navigates identity, activism, racism, and more. Through interviews with people who engage with Black Twitter, we surface the benefits (such as community building, empowerment, and activism) and challenges (like dealing with racism, appropriation, and outsiders) on the platform, juxtaposing the Green Book as a historical artifact and Black Twitter as its contemporary counterpart. Equipped with these insights, we make suggestions including audience segmen...
Risks associated with natural hazards such as hurricanes are increasingly communicated on social ... more Risks associated with natural hazards such as hurricanes are increasingly communicated on social media. For hurricane risk communication, visual information products—graphics—generated by meteorologists and scientists at weather agencies portray forecasts and atmospheric conditions and are offered to parsimoniously convey predictions of severe storms. This research considers risk interactivity by examining a particular hurricane graphic which has shown in previous research to have a distinctive diffusion signature: the ‘spaghetti plot’, which contains multiple discrete lines depicting a storm’s possible path. We first analyzed a large dataset of microblog interactions around spaghetti plots between members of the public and authoritative weather sources within the US during the 2017 Atlantic hurricane season. We then conducted interviews with a sample of the weather authorities after preliminary findings sketched the role that experts have in such communications. Findings describe h...
Collected all tweets from a 12-day period from when Florence first formed until remnants left the... more Collected all tweets from a 12-day period from when Florence first formed until remnants left the U.S. Tweets were collected using Twitter API searching for keywords of wind and water threats that co-occurred in the same tweet. Search terms included the following: ((tornado OR #tornado OR \"funnel cloud\" OR funnelcloud) (\"flash flood\" OR flood OR flashflood OR \"storm surge\" OR stormsurge)). Tweets were classified into three categories: public user (e.g. seeking information and sharing personal experience), authoritative user (e.g. sharing information but not personal information), or other (e.g. private or deleted accounts and bots). Tweets were classified into three categories: public user, authoritative user, or other. After classification, Twitter was re queried via the API to collect contextual tweet streams (entire user history) for the 12-day period for public and authoritative users. As January 2021, the dataset contains 60,007 tweets from 1...
Proceedings of the ACM on Human-Computer Interaction, 2022
The Negro Motorist Green Book was a publication that offered resources for the Black traveler fro... more The Negro Motorist Green Book was a publication that offered resources for the Black traveler from 1936 to 1966. More than a directory of Black-friendly businesses, it also offered articles that provided insights for how best to travel safely, engagement with readers through contests and invitations for readers to share travel stories, and even civil rights advocacy. Today, a contemporary counterpart to the Green Book is Black Twitter, where people share information and advocate for their community. By conducting qualitative open coding on a subset of Green Book editions as well as tweets from Black Twitter, we explore similarities and overlapping characteristics such as safety, information sharing, and social justice. Where they diverge exposes how spaces like Black Twitter have evolved to accommodate the needs of people in the Black diaspora beyond the scope of physical travel and into digital spaces. Our research points to ways that the Black community has shifted from the physic...
Proceedings of the ACM on Human-Computer Interaction, 2021
The Negro Motorist Green Book was a tool used by the Black community to navigate systemic racism ... more The Negro Motorist Green Book was a tool used by the Black community to navigate systemic racism throughout the U.S. and around the world. Whether providing its users with safer roads to take or businesses that were welcoming to Black patrons, The Negro Motorist Green Book fostered pride and created a physical network of safe spaces within the Black community. Building a bridge between this artifact which served Black people for thirty years and the current moment, we explore Black Twitter as an online space where the Black community navigates identity, activism, racism, and more. Through interviews with people who engage with Black Twitter, we surface the benefits (such as community building, empowerment, and activism) and challenges (like dealing with racism, appropriation, and outsiders) on the platform, juxtaposing the Green Book as a historical artifact and Black Twitter as its contemporary counterpart. Equipped with these insights, we make suggestions including audience segmen...
Risks associated with natural hazards such as hurricanes are increasingly communicated on social ... more Risks associated with natural hazards such as hurricanes are increasingly communicated on social media. For hurricane risk communication, visual information products—graphics—generated by meteorologists and scientists at weather agencies portray forecasts and atmospheric conditions and are offered to parsimoniously convey predictions of severe storms. This research considers risk interactivity by examining a particular hurricane graphic which has shown in previous research to have a distinctive diffusion signature: the ‘spaghetti plot’, which contains multiple discrete lines depicting a storm’s possible path. We first analyzed a large dataset of microblog interactions around spaghetti plots between members of the public and authoritative weather sources within the US during the 2017 Atlantic hurricane season. We then conducted interviews with a sample of the weather authorities after preliminary findings sketched the role that experts have in such communications. Findings describe h...
Collected all tweets from a 12-day period from when Florence first formed until remnants left the... more Collected all tweets from a 12-day period from when Florence first formed until remnants left the U.S. Tweets were collected using Twitter API searching for keywords of wind and water threats that co-occurred in the same tweet. Search terms included the following: ((tornado OR #tornado OR \"funnel cloud\" OR funnelcloud) (\"flash flood\" OR flood OR flashflood OR \"storm surge\" OR stormsurge)). Tweets were classified into three categories: public user (e.g. seeking information and sharing personal experience), authoritative user (e.g. sharing information but not personal information), or other (e.g. private or deleted accounts and bots). Tweets were classified into three categories: public user, authoritative user, or other. After classification, Twitter was re queried via the API to collect contextual tweet streams (entire user history) for the 12-day period for public and authoritative users. As January 2021, the dataset contains 60,007 tweets from 1...
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Papers by Joy Weinberg