22 Matching Annotations
  1. Last 7 days
    1. Rick Paulas. What It Feels Like to Go Viral. Pacific Standard, June 2017. URL: https://psmag.com/economics/going-viral-is-like-doing-cartwheels-on-the-water-spout-of-a-giant-whale (visited on 2023-12-08).

      This source dives into the experience of content going viral and underscores the complexities of virality, showing how what starts as an exhilarating rush can quickly turn overwhelming or even dangerous. This article also prompts questions about the responsibility of platforms and authors in dealing with the consequences of going viral, where online harassment is an important aspect.

    1. In what ways have you participated in helping content go viral?

      While I didn't necessarily create viral content myself, I have participated in sharing videos and reposting posts. I think sharing and reposting helps the content be suggested to other users whom the algorithms think have similar interests to me. Additionally, I noticed that the watching completion rate for videos is also a big factor for video platforms' algorithms to evaluate the quality of the content and therefore determine if the system will suggest the video.

    1. k1 Zack

      This source is talking about Facebook's default setting that allows anyone to look up a user profile based on the phone number used for two-factor authentication has sparked concerns about privacy and security. Users are unable to opt out of this setting, leading to criticism about Facebook's use of phone numbers as a unique identifier across platforms and its potential impact on user privacy. This article actually makes me wonder about the balance between security measures and user privacy. The question is, how can platforms like Facebook ensure both security and privacy without compromising one for the other?

    1. What experiences do you have of social media sites making particularly good recommendations for you? What experiences do you have of social media sites making particularly bad recommendations for you?

      My favorite recommendation is for discovering relevant content based on interests: Social media platforms often use algorithms to analyze users' activities, likes, and interactions to recommend content that aligns with their interests. This can lead to users discovering valuable information, products, or communities they are interested in.

  2. Apr 2024
    1. Assistive technology. December 2023. Page Version ID: 1188353371. URL: https://en.wikipedia.org/w/index.php?title=Assistive_technology&oldid=1188353371 (visited on 2023-12-07).

      This Wikipedia page introduces Assistive technology (AT), which is a term for assistive, adaptive, and rehabilitative devices for people with disabilities and the elderly. It's surprising to read how the deign of AT also involves considerations of the potential mental challenges brought by physical disable, and these are all good examples of how technology is beneficial to society.

    1. Those with disabilities often find ways to cope with their disability, that is, find ways to work around difficulties they encounter and seek out places and strategies that work for them (whether realizing they have a disability or not). Additionally, people with disabilities might change their behavior (whether intentionally or not) to hide the fact that they have a disability, which is called masking and may take a mental or physical toll on the person masking, which others around them won’t realize.

      One interesting aspect is how people may unintentionally hide their disabilities through masking behaviors, which can take a toll on their mental and physical well-being. And this is very commonly seen and normalized in daily life where people adapt their behavior to fit societal norms and expectations, often concealing their struggles. One question that arises from this discussion is how we can create more inclusive environments that don't place the burden solely on individuals with disabilities to adapt. This involves consideration of how societal structures and attitudes can either support or hinder people with disabilities in their coping strategies and overall well-being.

    1. Emma Bowman. After Data Breach Exposes 530 Million, Facebook Says It Will Not Notify Users. NPR, April 2021. URL: https://www.npr.org/2021/04/09/986005820/after-data-breach-exposes-530-million-facebook-says-it-will-not-notify-users (visited on 2023-12-06).

      The article discusses Facebook's decision not to notify more than 530 million users about a data breach that exposed their personal information. This breach included phone numbers, names, and locations and was attributed to malicious actors exploiting a vulnerability on the platform. The lack of notification has raised concerns about data privacy and user protection. This incident emphasizes the ongoing challenges companies face in safeguarding user data and maintaining transparency regarding data breaches, highlighting the need for robust data protection measures and clear communication with users about their privacy.

    1. What incentives do social media companies have to be careless with privacy?

      I think the biggest incentive is the profit motive for companies. Collecting and monetizing user data is a significant source of revenue for these companies. The more data they have access to, the more targeted and valuable their advertising services become. This can lead to a temptation to prioritize data collection and utilization over privacy concerns. They also consider the user's perspective, users often value convenience, personalized experiences, and free services offered by social media platforms. This creates an environment where companies may believe that users are willing to trade some privacy for these benefits, leading to a culture of data collection without sufficient transparency or user control.

    1. Karen Hao. How to poison the data that Big Tech uses to surveil you. MIT Technology Review, March 2021. URL: https://www.technologyreview.com/2021/03/05/1020376/resist-big-tech-surveillance-data/ (visited on 2023-12-05).

      The article talks about some strategies that individuals can use to reclaim control over their data. I think the most essential part of this article is about introducing concepts like data strikes, data poisoning, and conscious data contribution as ways to exploit the importance of good data for algorithms. It also mentions the need for further research and policy frameworks to support these initiatives effectively. This article generally encourages a proactive approach from individuals and researchers to address data privacy and influence algorithmic behaviors.

    1. Do you think there is information that could be discovered through data mining that social media companies shouldn’t seek out (e.g., social media companies could use it for bad purposes, or they might get hacked and others could find it)?

      I think data mining by social media companies could raise ethical concerns due to many aspects. This could include potential privacy violations, security risks like data breaches, biased results, and lack of transparency. Therefore, companies must prioritize user privacy and security to ensure responsible and ethical data mining practices and prevent misuse of personal information.

    1. Kaitlyn Tiffany. 'My Little Pony' Fans Are Ready to Admit They Have a Nazi Problem. The Atlantic, June 2020. URL: https://www.theatlantic.com/technology/archive/2020/06/my-little-pony-nazi-4chan-black-lives-matter/613348/ (visited on 2023-12-05).

      This sourced discussion the Nazi problem behind "my little pony". It discussed the Nazis problem come in when it’s edgy and provocative to be an adult obsessed with cartoon ponies. My Little Pony fans primarily express their enthusiasm for the show by sharing their own cartoon drawings of the main characters, which they usually upload to the image boards.

    1. What do you think is the best way to deal with trolling?

      I believe in most situations, the "don't feed the troll" rule is the most common and effective way for individuals to protect themselves on the internet from the trollers. However, in terms of dealing with trolling in a larger aspect and regulating trolling, it takes the social platforms' effort to create a more complete policy.

    1. f4

      In this article, David Robinson uses programming to compare the tweets from Trump's iPhone and Android phone and concludes that tweets from the iPhone are sent by his team and tweets from the iPhone are his own writings. He analyzes the tweets from several perspectives including time sent, frequent words, emotions, amount of pictures included, etc. And I personally think the perspectives he selected are very persuasive and the results of his analyses strongly support his guess.

    1. Our nomadic forebears functioned in groups who coordinated in highly specialized ways to ensure the survival of the whole.

      I think this part is very interesting, especially considering the lack of formal institutions compared to nowadays. So I wonder how trust and authenticity were built and maintained in early nomadic societies. Are there any specific mechanisms they employed to ensure authenticity within their communities?

    1. What is user friction? Why you're losing users and how to stop.

      This resource brings up a very important aspect that we need to consider when developing a social media platform. Depending on the focus of the platform these resources introduce several factors that lead to user friction. However, while fixing the user friction, this source discusses some potential benefits and positive sides of having user friction which I think is inspiring.

    1. What (if anything) about the social media platform’s design makes it difficult for someone perform the use case?

      When the use case comes to creating in-depth discussions, one example for this question would be Instagram. Instagram's visual-centric platform with limited text space makes it difficult to host extensive text-based discussions or debates. So it might not be the most ideal platform for those seeking in-depth discussions.

    1. d16

      As models are created based on a huge amount of data, there's a lot of simplification of data and sometimes wrong data will also be considered. This reminds me of when I studied microeconomics in high school and applied different economics models to real-life scenarios. It turns out that the modeled, idealized results can be very different from the actual result as there are so many other factors in real life besides the idealized situation in models.

    1. What’s something that we might often prefer to overlook when deciding what is important?

      I think what we always prefer to overlook are things that we personally think don't matter and therefore subjectively assume it's also not harmful to others. For example, sometimes people might add personal understanding when quoting someone else's opinion without malicious intention and I think this can be considered "pernicious ignorance".

    1. API. November 2023. Page Version ID: 1187436026. URL: https://en.wikipedia.org/w/index.php?title=API&oldid=1187436026 (visited on 2023-12-02).

      I found an interesting explanation of API: In a restaurant scenario, the server serves as the API, acting as the intermediary between the customer (client) and the kitchen (server). The menu represents the API's endpoints and functionalities, providing options for the customer to choose from. When the customer orders, they request the server (API), specifying their desired action. The server then processes the request(sent to the kitchen), performs the necessary operations, and returns the response to the customer(the food they want), completing the interaction.

    1. How are people’s expectations different for a bot and a “normal” user?

      I think people's expectations for a bot and a "normal" user might differ in terms of interaction style, accuracy, and capabilities. An example is online customer service. When a user contacts a customer service chatbot, they typically expect quick and straightforward responses to their requests. But if they reach out to a human customer service rep, they might potentially expect a more personalized interaction. For example, they might want the rep to show empathy toward their concerns, provide detailed explanations, etc.

  3. Mar 2024
    1. “Tsze-kung asked, saying, ‘Is there one word which may serve as a rule of practice for all one’s life?’ The Master said, ‘Is not reciprocity such a word? What you do not want done to yourself, do not do to others.’”

      This ethical principle from Confucius emphasizing reciprocity as a guiding principle for ethical conduct, strikes a chord with me due to its simplicity and universality. I'm really impressed by how a principle in ancient times is still valuable in modern society. So I'm interested in how Confucius's idea navigates modern complexities and how it addresses some ethical topics nowadays like digital ethics in social media

    1. Actions are judged on the sum total of their consequences (utility calculus) The ends justify the means.

      While consequentialism gives a clear and pragmatic way to ethical decision-making by focusing on the results, it's controversial. Because it can potentially overlook the complexities of moral dilemmas and may fail to fully consider the nuances of intention and intrinsic value inherent in ethical decision-making. Additionally, one of the cores of this ethical framework "the ends justify the means" can be challenged on moral grounds because it only prioritizes achieving the best result without thinking from different perspectives and considering others' rights.