YoungBelden [any]

  • 0 Posts
  • 16 Comments
Joined 2 years ago
cake
Cake day: December 24th, 2022

help-circle
rss



  • by now i’m almost fully switched off of directly using google products other than an android phone (pinephone was unfortunately not usable when I tried it) and google maps (when i’m delivery driving i just need it to work smoothly, don’t have time to troubleshoot like i would with other software)

    it’s been a few years since i did a foss deep dive so i imagine pinephone and/or osm have made progress.

    edit: also invidious instances kept breaking so i finally just went back to regular youtube in browser. newpipe on mobile






  • I think it’s very likely that profit-driven social media sites use fake accounts to boost their stats to advertisers and the like. Throw in corporations using fake accounts to sell shit as well as govt agencies using fake accounts to push their narratives, and the mainstream internet seems like a much more lonely place.


  • YoungBelden [any]toAsklemmy@lemmy.ml*Permanently Deleted*
    link
    fedilink
    English
    20
    edit-2
    11 months ago

    in all seriousness it’s a lot easier to tell on most lemmy instances than reddit because the content hasn’t devolved into formulaic circlejerks. ai language modeling is good at mimicking speech patterns, but can’t come up with novel and accurate ideas in the way that people can.


  • Distinguishing between a comment written by a human and one generated by a bot can sometimes be challenging, as bots are becoming increasingly sophisticated. However, there are several factors you can consider to help you determine whether a comment was likely written by a human or a bot:

    1. Language and Coherence: Human-generated comments often have a natural flow, including emotions, anecdotes, and personal experiences. Bots might produce text that seems more formulaic, lacking the nuances of human communication.

    2. Grammar and Spelling: While bots can produce grammatically correct text, they might struggle with certain uncommon phrases, idioms, or context-specific grammar. Excessive spelling or grammatical errors can be a sign of bot-generated content.

    3. Response Time: Bots can reply almost instantly, whereas humans might take a bit more time to compose a response. If you notice extremely rapid replies consistently, it could indicate automation.

    4. Contextual Understanding: Bots might have difficulty understanding and responding appropriately to nuanced or context-dependent comments. If a comment seems to miss the point or misunderstand the conversation, it might be bot-generated.

    5. Repetitive Phrasing: Bots might reuse certain phrases or sentences across different comments. Look for patterns of repetition that could indicate automated content.

    6. Unusual Links or Promotions: Bots might include links to unrelated or suspicious websites. Be cautious of comments that promote products, services, or links that don’t seem relevant to the discussion.

    7. Generic Content: Bots often generate content that’s generic and lacks personalization. Human comments are more likely to contain personal stories, emotions, and unique perspectives.

    8. Complexity and Depth: Human-generated comments can often delve into more complex discussions, while bot-generated content might stay at a surface level or provide generic responses.

    9. Unusual Timing: If a comment is posted at an odd time (e.g., during the night when most people are asleep), it could be an indicator of automated activity.

    10. Response to Specific Prompts: Bots are often trained to respond to specific prompts or keywords. If a comment seems to be overly focused on a particular keyword or topic, it might be bot-generated.

    Remember that the line between human-generated and bot-generated content is becoming increasingly blurred, with more advanced AI systems capable of mimicking human communication. It’s always good to exercise critical thinking and use multiple factors to make an informed judgment. If in doubt, you might also try engaging the commenter in more nuanced or unexpected conversation to see how they respond.