Blog Post #3 Week 4 due 2/13
How does Everett challenge the myth that Black people are late or uninterested adopters of technology?
Everett challenges this myth by documenting the early and enthusiastic use of the internet by African diasporic communities, especially around 1995 when Black web presence began visibly growing. She mentions examples like Afrocentric content on Yahoo and the Million Woman March being organized online, showing how Black communities were not only participating in digital spaces, but they were also innovating within them.
How does mainstream media coverage of Black online activity reflect racial bias, according to Everett
Everett critiques mainstream media for portraying Black digital users as âsurprising,â marginal, or only recently joining the digital world, even though they have been present just like everyone else. She highlights how coverage often emphasizes that Black digital activity is new, inadequate, or rare, making it seem out of place. This reflects a deeper bias that frames whiteness as the default digital identity, erasing the complexity and history of Black tech use.
What is one of the downsides of government monitoring for public safety?
I believe the government monitors our actions closely and often targets specific groups, particularly African Americans and Latinos, to make surveillance appear more justified. According to the article "Track and Trapped," around 40,000 African Americans and 130,000 Latinos are listed in the CalGang database. While this data may be presented as a tool for public safety, it results in tracking of innocent civilians who may look alike, leading to unfair outcomes for both targeted and untargeted groups. Although monitoring criminals can be valuable for society, the widespread surveillance of innocent people results in damage in areas that reduce justice and trust in the system, is a downside.
Should we blame AI for its algorithms? Or humans?
Artificial intelligence is essentially created by humans, meaning that its algorithms are based on what humans input into it. The ones we should blame for the lack of information that led to racist remarks are AI. The article âAlgorithms of Oppressionâ mentions an example of how Google returned offensive results of African Americans, showing them with terms like âgorilla,â which is concerning. I believe we shouldnât hold AI solely responsible for these outcomes. After all, it reflects the biases present in the data we feed it, which come from us. These errors reveal more about human prejudice than the technology itself.
Everett, A. (2002). The Revolution Will Be Digitized. Duke University Press. https://read.dukeupress.edu/social-text/article-abstract/20/2%20(71)/125/32619/The-Revolution-Will-Be-DigitizedAFROCENTRICITY-AND?redirectedFrom=fulltextÂ
Youth Justice Coalition (2012). Track and Trapped. Youth of Color, Data Gang Databases, and Gang Injunctions.












