Search (4 results, page 1 of 1)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Internet"
  1. Schrenk, P.: Gesamtnote 1 für Signal - Telegram-Defizite bei Sicherheit und Privatsphäre : Signal und Telegram im Test (2022) 0.01
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    Date
    22. 1.2022 14:01:14
  2. Ding, J.: Can data die? : why one of the Internet's oldest images lives on wirhout its subjects's consent (2021) 0.01
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    Abstract
    In 2021, sharing content is easier than ever. Our lingua franca is visual: memes, infographics, TikToks. Our references cross borders and platforms, shared and remixed a hundred different ways in minutes. Digital culture is collective by default and has us together all around the world. But as the internet reaches its "dirty 30s," what happens when pieces of digital culture that have been saved, screenshotted, and reposted for years need to retire? Let's dig into the story of one of these artifacts: The Lenna image. The Lenna image may be relatively unknown in pop culture today, but in the engineering world, it remains an icon. I first encountered the image in an undergrad class, then grad school, and then all over the sites and software I use every day as a tech worker like Github, OpenCV, Stack Overflow, and Quora. To understand where the image is today, you have to understand how it got here. So, I decided to scrape Google scholar, search, and reverse image search results to track down thousands of instances of the image across the internet (see more in the methods section).
    In the 21st century, the image has remained a common sight in classrooms and on TV, including a feature on Silicon Valley in 2014. Pushback towards the use of the image also grew in the 2010s leading up to 2019, when the Losing Lena documentary was released. Forsén shares her side of the story and asks for her image to be retired: "I retired from modelling a long time ago. It's time I retired from tech, too. We can make a simple change today that creates a lasting change for tomorrow. Let's commit to losing me." After the film's release, many of my female colleagues shared stories about their own encounters with the image throughout their careers. When one of the only women this well referenced, respected, and remembered in your field is known for a nude photo that was taken of her and is now used without her consent, it inevitably shapes the perception of the position of women in tech and the value of our contributions. The film called on the engineering community to stop their spread of the image and use alternatives instead. This led to efforts to remove the image from textbooks and production code and a slow, but noticeable decline in the image's use for research.
    Content
    "Having known Lenna for almost a decade, I have struggled to understand what the story of the image means for what tech culture is and what it is becoming. To me, the crux of the Lenna story is how little power we have over our data and how it is used and abused. This threat seems disproportionately higher for women who are often overrepresented in internet content, but underrepresented in internet company leadership and decision making. Given this reality, engineering and product decisions will continue to consciously (and unconsciously) exclude our needs and concerns. While social norms are changing towards non-consensual data collection and data exploitation, digital norms seem to be moving in the opposite direction. Advancements in machine learning algorithms and data storage capabilities are only making data misuse easier. Whether the outcome is revenge porn or targeted ads, surveillance or discriminatory AI, if we want a world where our data can retire when it's outlived its time, or when it's directly harming our lives, we must create the tools and policies that empower data subjects to have a say in what happens to their data. including allowing their data to die."
  3. Gruda, D.; Karanatsiou, D.; Mendhekar, K.; Golbeck, J.; Vakali, A.: I alone can fix it : examining interactions between narcissistic leaders and anxious followers on Twitter using a machine learning approach (2021) 0.01
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  4. Son, J.; Lee, J.; Larsen, I.; Nissenbaum, K.R.; Woo, J.: Understanding the uncertainty of disaster tweets and its effect on retweeting : the perspectives of uncertainty reduction theory and information entropy (2020) 0.01
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