12 Matching Annotations
  1. Feb 2026
    1. Metadata: Sometimes the metadata that comes with content might violate someone’s privacy. For example, in 2012, former tech CEO John McAfee was a suspect in a murder in Belize, John McAfee hid out in secret. But when Vice magazine wrote an article about him, the photos in the story contained metadata with the exact location in Guatemala.

      With how revealing metadata can be, it makes me wonder why platforms even include the metadata in posts. And should media outlets should be more responsible for removing metadata before publishing content that could put people at risk like this example?

    1. But while that is the proper security for storing passwords. So for example, Facebook stored millions of Instagram passwords in plain text, meaning the passwords weren’t encrypted and anyone with access to the database could simply read everyone’s passwords. And Adobe encrypted their passwords improperly and then hackers leaked their password database of 153 million users.

      This shows how even major platforms can ignore basic security practices. How can platforms be held to stricter accountability standards when they fail to protect user data?

  2. Jan 2026
    1. Authenticity is a concept we use to talk about connections and interactions when the way the connection is presented matches the reality of how it functions. An authentic connection can be trusted because we know where we stand. An inauthentic connection offers a surprise because what is offered is not what we get. An inauthentic connection could be a good surprise, but usually, when people use the term ‘inauthentic’, they are indicating that the surprise was in some way problematic: someone was duped.

      I found it interesting that authenticity focuses on how a connection is presented and how it actually is. Even if a connection is weakly maintained or surface level as long as it is up front it could still be seen as authentic.

    2. Many users were upset that what they had been watching wasn’t authentic. That is, users believed the channel was presenting itself as true events about a real girl, and it wasn’t that at all. Though, even after users discovered it was fictional, the channel continued to grow in popularity.

      It's interesting to see how strongly people value authenticity even online. I wonder how the view of the channel would have been different if she had a disclaimer or something from the beginning.

    1. But one 4Chan user found 4chan to be too authoritarian and restrictive and set out to create a new “free-speech-friendly” image-sharing bulletin board, which he called 8chan.

      It's interesting that 4chan was created to be less restrictive, and then 8chan created to be less restrictive than 4chan. It asks the question of to what extent will it or can it go, and how other laws come into play as well.

    1. One of the early ways of social communication across the internet was with Email, which originated in the 1960s and 1970s. These allowed people to send messages to each other, and look up if any new messages had been sent to them.

      It's interesting to learn how early Email was created, and how much it has or hasn't developed since then. It's been about 50 years since then which is very surprising.

    1. Can you think of an example of pernicious ignorance in social media interaction? What’s something that we might often prefer to overlook when deciding what is important?

      An example I thought of is how when people share inspirational content about their success and frame it as something that is solely based on mindset. They ignore other factors such as race, class, and location, to name a few.

    1. Metadata is information about some data. So we often think about a dataset as consisting of the main pieces of data (whatever those are in a specific situation), and whatever other information we have about that data (metadata).

      I've always heard the term metadata but never really knew what it meant. Very interesting to see how it is categorized and the amount of information metadata contains.

    1. Bots present a similar disconnect between intentions and actions. Bot programs are written by one or more people, potentially all with different intentions, and they are run by others people, or sometimes scheduled by people to be run by computers. This means we can analyze the ethics of the action of the bot, as well as the intentions of the various people involved, though those all might be disconnected.

      I think this is very interesting as it makes it harder to put responsibility on a single person or thing. A bot could be good or bad regardless of its original intent. This means that the outcome and human accountability should be thought about separately.

    1. Bots might have significant limits on how helpful they are, such as tech support bots you might have had frustrating experiences with on various websites.

      This shows how bots may not always be effective, especially in more specific contexts such as tech support. I have had frustrating experiences with bots like these, and it shows the limits of the current programming of the bots.

    1. There is no clear single definition for what counts as social media. John Hartley points out that you could consider almost all of culture as “social media.”

      I found it interesting that he says that you could consider almost all of culture as "social media." Hartley explains that any media that communicates could be considered as social, which is a perspective I hadn't thought about before.

    1. There are many more ethics frameworks that we haven’t mentioned here. You can look up some more here.

      One ethics framework that I learned about in COM 200 is pragmatism. It is a framework that views moral reasoning as experimental and dependent on context. It judges ideas by how well they will help people solve real problems and adapt over time compared to fixed rules or abstract principles.