I think recommendation algorithms and advertising are separate things, however think with defaults and when it comes to what specific data is collected, where do you draw the line? Absolutely no recommendations at all based on an algorithm? Would you say using your ‘like’ history to recommend you more videos is okay? What about watch history, or save history?

Same question can also be asked about where you draw the line on advertising. Just say Youtube showed ads purely based on your video like history, would that be creepy?

I think we can all draw the line at location history, how long you linger on a post, etc. I’d like to know your thoughts on where you’d draw the line for both advertising and content recommendations. (This is two questions)

Sorry that this post is horribly formatted. I’m tired, acoustic and had a shower thought 😝

  • CrazyLikeGollum@lemmy.worldEnglish
    1·
    5 months ago

    Personally, I don’t like the idea of any recommendation or advertising algorithm using personal information of any kind. Though I can understand why location would be needed for advertising: in order to ensure ads for regional services are not shown outside of that region.

    The kinds of data that I think should be used:
    -Recommendations:
    -Like history
    -Watch (or view) history - specifically (and only) if I click on a post or watch more than some reasonable percentage of a video that would indicate I watched the entirety of the video.

    -Advertisements:
    -Location (based solely on IP)
    -The content currently being viewed, based on a general categorization of the content. If I’m watching a video about technology I don’t need to be seeing ads for financial services.