• Donkter@lemmy.world
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    1 hour ago

    This is a really interesting paragraph to me because I definitely think these results shouldn’t be published or we’ll only get more of these “whoopsie” experiments.

    At the same time though, I think it is desperately important to research the ability of LLMs to persuade people sooner rather than later when they become even more persuasive and natural-sounding. The article mentions that in studies humans already have trouble telling the difference between AI written sentences and human ones.

  • FauxLiving@lemmy.world
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    2 hours ago

    This research is good, valuable and desperately needed. The uproar online is predictable and could possibly help bring attention to the issue of LLM-enabled bots manipulating social media.

    This research isn’t what you should get mad it. It’s pretty common knowledge online that Reddit is dominated by bots. Advertising bots, scam bots, political bots, etc.

    Intelligence services of nation states and political actors seeking power are all running these kind of influence operations on social media, using bot posters to dominate the conversations about the topics that they want. This is pretty common knowledge in social media spaces. Go to any politically charged topic on international affairs and you will notice that something seems off, it’s hard to say exactly what it is… but if you’ve been active online for a long time you can recognize that something seems wrong.

    We’ve seen how effective this manipulation is on changing the public view (see: Cambridge Analytica, or if you don’t know what that is watch ‘The Great Hack’ documentary) and so it is only natural to wonder how much more effective online manipulation is now that bad actors can use LLMs.

    This study is by a group of scientists who are trying to figure that out. The only difference is that they’re publishing their findings in order to inform the public. Whereas Russia isn’t doing us the same favors.

    Naturally, it is in the interest of everyone using LLMs to manipulate the online conversation that this kind of research is never done. Having this information public could lead to reforms, regulations and effective counter strategies. It is no surprise that you see a bunch of social media ‘users’ creating a huge uproar.


    Most of you, who don’t work in tech spaces, may not understand just how easy and cheap it is to set something like this up. For a few million dollars and a small staff you could essentially dominate a large multi-million subscriber subreddit with whatever opinion you wanted to push. Bots generate variations of the opinion that you want to push, the bot accounts (guided by humans) downvote everyone else out of the conversation and, in addition, moderation power can be seized, stolen or bought to further control the conversation.

    Or, wholly fabricated subreddits can be created. A few months prior to the US election there were several new subreddits which were created and catapulted to popularity despite just being a bunch of bots reposting news. Now those subreddits are high in the /all and /popular feeds, despite their moderators and a huge portion of the users being bots.

    We desperately need this kind of study to keep from drowning in a sea of fake people who will tirelessly work to convince you of all manner of nonsense.

  • VampirePenguin@midwest.social
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    4 hours ago

    AI is a fucking curse upon humanity. The tiny morsels of good it can do is FAR outweighed by the destruction it causes. Fuck anyone involved with perpetuating this nightmare.

    • Tja
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      1 hour ago

      Damn this AI, posting and doing all this mayhem all by itself on poor unsuspecting humans…

    • 13igTyme@lemmy.world
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      4 hours ago

      Todays “AI” is just machine learning code. It’s been around for decades and does a lot of good. It’s most often used for predictive analytics and used to facilitate patient flow in healthcare and understand volumes of data fast to provide assistance to providers, case manager, and social workers. Also used in other industries that receive little attention.

      Even some language learning machines can do good, it’s the shitty people that use it for shitty purposes that ruin it.

      • Dagwood222@lemm.ee
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        1 hour ago

        They are just harmless fireworks. They are even useful for signaling ships at sea of dangerous tides.

      • VampirePenguin@midwest.social
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        2 hours ago

        Sure I know what it is and what it is good for, I just don’t think the juice is worth the squeeze. The companies developing AI HAVE to shove it everywhere to make it feasible, and the doing of that is destructive to our entire civilization. The theft of folks’ work, the scamming, the deep fakes, the social media propaganda bots, the climate raping energy consumption, the loss of skill and knowledge, the enshittification of writing and the arts, the list goes on and on. It’s a deadend that humanity will regret pursuing if we survive this century. The fact that we get a paltry handful of positives is cold comfort for our ruin.

        • 13igTyme@lemmy.world
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          2 hours ago

          The fact that we get a paltry handful of positives is cold comfort for our ruin.

          This statement tells me you don’t understand how many industries are using machine learning and how many lives it saves.

    • sugar_in_your_tea@sh.itjust.works
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      3 hours ago

      I disagree. It may seem that way if that’s all you look at and/or you buy the BS coming from the LLM hype machine, but IMO it’s really no different than the leap to the internet or search engines. Yes, we open ourselves up to a ton of misinformation, shifting job market etc, but we also get a suite of interesting tools that’ll shake themselves out over the coming years to help improve productivity.

      It’s a big change, for sure, but it’s one we’ll navigate, probably in similar ways that we’ve navigated other challenges, like scams involving spoofed webpages or fake calls. We’ll figure out who to trust and how to verify that we’re getting the right info from them.

      • zbyte64@awful.systems
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        35 minutes ago

        LLMs are not like the birth of the internet. LLMs are more like what came after when marketing took over the roadmap. We had AI before LLMs, and it delivered high quality search results. Now we have search powered by LLMs and the quality is dramatically lower.

    • conicalscientist@lemmy.world
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      59 minutes ago

      I don’t know what you have in mind but the founders originally used bots to generate activity to make the site look popular. Which begs the question. What was really the root reddit cultures. Was it the bots following human activity to bolster it. Or were the humans merely following what the founders programmed the bots to post.

      One things for sure, reddit has always been a platform of questionable integrity.

    • acosmichippo@lemmy.world
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      4 hours ago

      why wouldn’t that be the case, all the most persuasive humans are liars too. fantasy sells better than the truth.

  • justdoitlater@lemmy.world
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    7 hours ago

    Reddit: Ban the Russian/Chinese/Israeli/American bots? Nope. Ban the Swiss researchers that are trying to study useful things? Yep

    • Ilandar@lemm.ee
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      6 hours ago

      Bots attempting to manipulate humans by impersonating trauma counselors or rape survivors isn’t useful. It’s dangerous.

      • endeavor@sopuli.xyz
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        5 hours ago

        Humans pretend to be experts infront of eachother and constantly lie on the internet every day.

        Say what you want about 4chan but the disclaimer it had ontop of its page should be common sense to everyone on social media.

          • endeavor@sopuli.xyz
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            4 hours ago

            If fake experts on the internet get their jobs taken by the ai, it would be tragic indeed.

            Don’t worry tho, popular sites on the internet are dead since they’re all bots anyway. It’s over.

      • justdoitlater@lemmy.world
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        5 hours ago

        Sure, but still less dangerous of bots undermining our democracies and trying to destroy our social frabic.

  • nodiratime@lemmy.world
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    8 hours ago

    Reddit’s chief legal officer, Ben Lee, wrote that the company intends to “ensure that the researchers are held accountable for their misdeeds.”

    What are they going to do? Ban the last humans on there having a differing opinion?

    Next step for those fucks is verification that you are an AI when signing up.

  • MTK@lemmy.world
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    8 hours ago

    Lol, coming from the people who sold all of your data with no consent for AI research

    • loics2@lemm.ee
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      7 hours ago

      The quote is not coming from Reddit, but from a professor at Georgia Institute of Technology

  • SolNine@lemmy.ml
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    9 hours ago

    Not remotely surprised.

    I dabble in conversational AI for work, and am currently studying its capabilities for thankfully (imo at least) positive and beneficial interactions with a customer base.

    I’ve been telling friends and family recently that for a fairly small amount of money and time investment, I am fairly certain a highly motivated individual could influence at a minimum a local election. Given that, I imagine it would be very easy for Nations or political parties to easily manipulate individuals on a much larger scale, that IMO nearly everything on the Internet should be suspect at this point, and Reddit is atop that list.

    • aceshigh@lemmy.world
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      7 hours ago

      This isn’t even a theoretical question. We saw it live in the last us elections. Fox News, TikTok, WaPo etc. are owned by right wing media and sane washed trump. It was a group effort. You need to be suspicious not only of the internet but of tv and newspapers too. Old school media isn’t safe either. It never really was.

      But I think the root cause is that people don’t have the time to really dig deep to get to the truth, and they want entertainment not be told about the doom and gloom of the actual future (like climate change, loss of the middle class etc).

      • DarthKaren@lemmy.world
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        5 hours ago

        I think it’s more that most people don’t want to see views that don’t align with their own or challenge their current ones. There are those of us who are naturally curious. Who want to know how things work, why things are, what the latest real information is. That does require that research and digging. It can get exhausting if you don’t enjoy that. If it isn’t for you, then you just don’t want things to clash with what you “know” now. Others will also not want to admit they were wrong. They’ll push back and look for places that agree with them.

        • aceshigh@lemmy.world
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          2 hours ago

          People are afraid to question their belief systems because it will create an identity crisis, and most people can’t psychologically deal with it. So it’s all self preservation.

  • MonkderVierte@lemmy.ml
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    10 hours ago

    When Reddit rebranded itself as “the heart of the internet” a couple of years ago, the slogan was meant to evoke the site’s organic character. In an age of social media dominated by algorithms, Reddit took pride in being curated by a community that expressed its feelings in the form of upvotes and downvotes—in other words, being shaped by actual people.

    Not since the APIcalypse at least.

    Aside from that, this is just reheated news (for clicks i assume) from a week or two ago.

    • ClamDrinker@lemmy.world
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      10 minutes ago

      One likely reason the backlash has been so strong is because, on a platform as close-knit as Reddit, betrayal cuts deep.

      Another laughable quote after the APIcalypse, at least for the people that remained on Reddit after being totally ok with being betrayed.

  • Itdidnttrickledown@lemmy.world
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    5 hours ago

    It hurts them right in the feels when someone uses their platform better than them. How dare those researchers manipulate their manipulations!

  • thedruid@lemmy.world
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    9 hours ago

    Fucking a. I. And their apologist script kiddies. worse than fucking Facebook in its disinformation

  • flango@lemmy.eco.br
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    11 hours ago

    […] I read through dozens of the AI comments, and although they weren’t all brilliant, most of them seemed reasonable and genuine enough. They made a lot of good points, and I found myself nodding along more than once. As the Zurich researchers warn, without more robust detection tools, AI bots might “seamlessly blend into online communities”—that is, assuming they haven’t already.

  • conicalscientist@lemmy.world
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    12 hours ago

    This is probably the most ethical you’ll ever see it. There are definitely organizations committing far worse experiments.

    Over the years I’ve noticed replies that are far too on the nose. Probing just the right pressure points as if they dropped exactly the right breadcrumbs for me to respond to. I’ve learned to disengage at that point. It’s either they scrolled through my profile. Or as we now know it’s a literal psy-op bot. Already in the first case it’s not worth engaging with someone more invested than I am myself.

    • FauxLiving@lemmy.world
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      3 hours ago

      Over the years I’ve noticed replies that are far too on the nose. Probing just the right pressure points as if they dropped exactly the right breadcrumbs for me to respond to. I’ve learned to disengage at that point. It’s either they scrolled through my profile. Or as we now know it’s a literal psy-op bot. Already in the first case it’s not worth engaging with someone more invested than I am myself.

      You put it better than I could. I’ve noticed this too.

      I used to just disengage. Now when I find myself talking to someone like this I use my own local LLM to generate replies just to waste their time. I’m doing this by prompting the LLM to take a chastising tone, point out their fallacies and to lecture them on good faith participation in online conversations.

      It is horrifying to see how many bots you catch like this. It is certainly bots, or else there are suddenly a lot more people that will go 10-20 multi-paragraph replies deep into a conversation despite talking to something that is obviously (to a trained human) just generated comments.

        • FauxLiving@lemmy.world
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          2 hours ago

          I think the simplest way to explain it is that the average person isn’t very skilled at rhetoric. They argue inelegantly. Over a long time of talking online, you get used to talking with people and seeing how they respond to different rhetorical strategies.

          In these bot infested social spaces it seems like there are a large number of commenters who just seem to argue way too well and also deploy a huge amount of fallacies. This could be explained, individually, by a person who is simply choosing to argue in bad faith; but, in these online spaces there seem to be too many commenters who seem to deploy these tactics compared to the baseline that I’ve established in my decades of talking to people online.

          In addition, what you see in some of these spaces are commenters who seem to have a very structured way of arguing. Like they’ve picked your comment apart into bullet points and then selected arguments against each point which are technically on topic but misleading in a way.

          I’ll admit that this is all very subjective. It’s entirely based on my perception and noticing patterns that may or may not exist. This is exactly why we need research on the topic, like in the OP, so that we can create effective and objective metrics for tracking this.

          For example, if you could somehow measure how many good faith comments vs how many fallacy-laden comments in a given community there would likely be a ratio that is normal (i.e. there are 10 people who are bad at arguing for every 1 person who is good at arguing and, of those skilled arguers 10% of them are commenting in bad faith and using fallacies) and you could compare this ratio to various online topics to discover the ones that appear to be botted.

          That way you could objectively say that on the topic of Gun Control on this one specific subreddit we’re seeing an elevated ratio of bad faith:good faith scoring commenters and, therefore, we know that this topic/subreddit is being actively LLM botted. This information could be used to deploy anti-bot counter measures (captchas, for example).

    • skisnow@lemmy.ca
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      12 hours ago

      Yeah I was thinking exactly this.

      It’s easy to point to reasons why this study was unethical, but the ugly truth is that bad actors all over the world are performing trials exactly like this all the time - do we really want the only people who know how this kind of manipulation works to be state psyop agencies, SEO bros, and astroturfing agencies working for oil/arms/religion lobbyists?

      Seems like it’s much better long term to have all these tricks out in the open so we know what we’re dealing with, because they’re happening whether it gets published or not.