18 Matching Annotations
  1. Last 7 days
  2. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Systemic bias. November 2023. Page Version ID: 1185361788. URL: https://en.wikipedia.org/w/index.php?title=Systemic_bias&oldid=1185361788 (visited on 2023-12-07).

      Systemic bias refers to a system that, due to its structural design, has evolved over time to produce biased recommendations. It is not a matter of individual bias, but rather results from algorithms that intentionally lower the visibility of certain communities or content types. When I thought about this, it reminded me of the “information bubble” on TikTok, where the algorithm only recommends news, politics, military topics, and philosophy that you like—it will never recommend anything that falls outside your preferences.

      Translated with DeepL.com (free version)

    1. 11.3.1. How recommendations can go well or poorly

      I have concerns about this algorithm because, as algorithms become more advanced and more opaque, users will only be shown recommendations for things they already like, and they won’t see anything at all about things they don’t know or don’t want to see at all.

  3. Oct 2026
    1. Private message. November 2023. Page Version ID: 1185376021. URL: https://en.wikipedia.org/w/index.php?title=Private_message&oldid=1185376021 (visited on 2023-12-05).

      This topic has been the subject of in-depth discussion for over a year now. When users interact with various chat features, the information they generate—whether private or public—remains shrouded in the platform’s closed nature and confidentiality. You have no way of knowing whether your messages are being used, sold, or stolen by the platform.

  4. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. 9.2. Security

      Data privacy is crucial on social media platforms, and it is even more critical in sensitive industries—for example, securities firms must safeguard individuals’ financial information and tax filing data, among other things.

  5. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Web tracking. October 2023. Page Version ID: 1181294364. URL: https://en.wikipedia.org/w/index.php?

      Well, this is a cybersecurity issue. In addition to platforms collecting personal data, the gray and black markets, as well as telecom fraudsters, also use various information technologies here. However, as technology advances, platforms and websites are also updating their policies to curb such gray-market activities.

    1. Social media platforms collect various types of data on their users. Some data is directly provided to the platform by the users. Platforms may ask users for information like: email address name profile picture interests friends

      I really hate this: when users interact with the platform, they also provide it with some private, sensitive information, and the platform collects certain data. Malicious actors can exploit vulnerabilities in the platform to steal that information—this falls into a gray area.

  6. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Is It Funny or Offensive? Comedian Impersonates FBI on Twitter, Makes MLK Assassination Joke. January 2020. URL: https://isitfunnyoroffensive.com/comedian-impersonates-fbi-on-twitter-makes-mlk-assassination-joke/ (visited on 2023-12-05).

      Joking is really just a way of testing boundaries; at its core, it’s an act of offense designed to gauge your level of compliance based on how much you’re willing to tolerate. There is no such thing as a harmless joke. The reason you find jokes from family and friends acceptable is that the emotional bond you share with them far outweighs the humiliation caused by the offense, so you subconsciously accept that humiliation. The reason you find jokes from casual acquaintances or even strangers unacceptable is that the emotional bond with them is worthless—it doesn’t even come close to offsetting the pain of having your self-respect trampled on.

    1. 7.1.2

      When I first started using the internet, I, too, had certain illusions. I used to harbor a certain idealistic view of online comment sections—I imagined them to be vibrant public spaces where people engaged in sincere dialogue, listened to one another, and allowed meaningful discussions to naturally deepen over time. But reality shattered my illusions; instead, these spaces were mostly filled with insults, attacks, and cold-hearted malice.

  7. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. onelygirl15. November 2023. Page Version ID: 1186146298. URL: https://en.wikipedia.org/w/index.php?title=Lonelygirl15&oldid=1186146298 (visited on 2023-11-24).

      This phenomenon isn’t limited to the past. Scripted content remains widespread on social media today, especially on TikTok, which is a major hotspot for this issue. If a video explicitly states that it is scripted, viewers’ sense of immersion is severely diminished. Viewers often deliberately avoid such disclosures, which keeps them fully engaged and immersed. When it is later revealed that the content was scripted, they are left feeling deceived, angry, and bewildered.

  8. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Though Dr. McLaughlin claimed a personal experience as a witness in a Title IX sexual harassment case, through the fake @Sciencing_Bi, she invented an experience of sexual harassment from a Harvard professor. This professor was being accused of sexual harassment by multiple real women, and these real women were very upset to find out that @Sciencing_Bi, who was trying to join them, was not a real person.

      In pursuit of higher view counts, more likes, and greater buzz, many content creators have started taking shortcuts: cutting off the beginning and end, excerpting clips, taking things out of context, and deliberately stoking controversy. Instead of presenting a complete story, they select only the most confrontational, extreme, and argument-provoking segments—omitting the context, the true background, and any subsequent twists.

  9. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Tom Standage. Writing on the Wall: Social Media - The First 2,000 Years. Bloomsbury USA, New York, 1st edition edition, October 2013. ISBN 978-1-62040-283-2.

      With advances in technology and increases in productivity, the ways in which people communicate and information is disseminated have undergone revolutionary changes; however, this has also been accompanied by a surge in spam, misinformation, and information manipulation.

    1. The book Writing on the Wall: Social Media - The First 2,000 Years [e1] by Tom Standage outlines some of the history of social media before internet-based social media platforms such as in times before the printing press:

      There’s an Instagram account called “Washington Confession Wall.” Why is it called the “Confession Wall”? This kind of description likely originated here—it was a public channel for expressing feelings during the era of applause, where people would write on the wall to publicly declare their love. That’s pretty much what it was used for.

  10. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Twitter. November 2023. Page Version ID: 1187856185. URL: https://en.wikipedia.org/wiki/Twitter (visited on 2023-12-01).

      I had also noticed this social media-related information before, but lacking work experience and relevant knowledge, I didn’t realize that such data could be collected and quantified in bulk. When Musk acquired Twitter, renamed it X, and carried out a major restructuring of the company’s operations, it certainly left many people feeling unsettled and unable to accept the changes. I believe there are still many people who miss the old “little blue bird,” but it’s undeniable that after Musk took over Twitter, he restructured the management team and revised policies, which significantly reduced the number of spam accounts and spam content while optimizing the entire platform.

      Translated with DeepL.com (free version)

    1. Data in a Social Media Post

      I had also noticed this social media-related information before, but lacking work experience and relevant knowledge, I didn’t realize that this information could be collected in bulk.

  11. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. 3.6. 参考文献

      Well, we can talk about technical issues in class, i am also interested in the mechanism that the traditional concept of an artist account can be quantitatively controlled and operated by one person. the internet is mainly contradictory in exposure, and quantitative accounts are used to create false popularity, so that real life accounts can get a large number of real likes and comments for certain content so as to form the Internet effect of manipulating public opinion.

    1. This is informally called the “dead internet theory.” [c1]

      In the gray industry china o the internet in china, there is also an informal name called the network navy

    1. Some platforms are primarily intended for forming connections and building networks, like Facebook for friends and family, and LinkedIn for business connections.

      i think this is good. for example, i often use tiktok to chat and socialize, and share videos that i watch every day.

    1. social media

      i think this word is actually more like a platform that can be used to communicate with people. It's not just computes or smartphones or the Internet.