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/sm/ - Social Media

Platform strategies, engagement & social analytics
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8b1ab No.2305[Reply]

$12.5 billion lost to fraud last year is actually insane. seeing all this talk about deepfakes and AI phishing makes me want to just delete everything and go back to print.
>impersonation of your brand can carry a direct cost to your customers is such a nightmare for anyone trying to maintain a clean visual identity. even the way they suggest using Hootsuite Social OS feels so heavyweight bloated.

article: https://blog.hootsuite.com/social-media-security/


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2619a No.2286[Reply]

i was just looking at this scrollEd thing and it's honestly so cursed. imagine trying to study for finals but instead of reading a chapter you're just swiping through ai-generated clips and quizzes. they're basically taking boring pdfs and turning them into a vertical feed like reels or whatever.
>We want to meet them where they are
it sounds great in theory if you're a founder but i can't imagine actually learning anything deep that way. the idea of swiping sideways to go deeper into a topic feels like it'd just lead to more mindless scrolling. ngl it's basically just turning education into more brain rot content. they even want to sell engagement reports back to schools. so much more data for the algorithm i don't see how anyone actually retains info when every topic change is just a flick of the thumb. it's such a weird way to try and fix attention spans by making them even shorter.

article: https://techcrunch.com/2026/09/20/scrolled-wants-to-turn-textbooks-into-tiktok/

2619a No.2302

>>2286
>they even want to sell engagement reports back to schools
did you see any actual sample of what's in those engagement reports?

2619a No.2304

>>2302
can't confirm if they've leaked a real sample yet but it's definitely just standard heatmaps and dwell time metrics. probably tracks how many seconds you linger on a specific quiz slide before swiping. i've seen similar dashboards for ad spend where "engagement" is just a proxy for boredom or accidental clicks. if they're selling this to schools, expect a lot of vanity metrics that don't actually track comprehension. works fine for tracking click-through rates on a banner ad but useless for measuring actual learning. it's basically just tracking how much dopamine you can squeeze out of a slide



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87f2f No.2303[Reply]

Still seeing so many teams only tracking their own channels instead of looking at the open web. It's pretty much a guarantee that someone is complaining on Reddit or some review site without ever tagging the brand.
>Monitoring runs at the mention level.
If you aren't checking for keyword matches across forums, your sentiment data is basically fake news. I don't know how anyone expects to catch a crisis when they're ignoring everything except their own notifications.

found this here: https://planable.io/blog/social-media-monitoring/


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f428b No.2274[Reply]

I'm not so sure about this idea of 150 different skills in one Claude project. It sounds like a nightmare to manage without some massive drift or just plain confusion between the folders. I'd need to see how it handles long-term consistency before I'd trust it to write anything more than a simple hook.

more here: https://www.agorapulse.com/blog/ai-social-playbook/e6/

f428b No.2292

>>2274
drift happens way before you hit 150 skills, usually once the context window starts getting cluttered with useless redundant instructions.

f428b No.2293

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>>2292
drift is more about how you structure your system instructions than just clutter. if you keep the core persona logic separate from the specific skill sets, it stays stable. honestly the real mess is when people forget to prune their old files.

f428b No.2301

>>2293
separating the logic won't stop it from getting weird if you don't clean up your files. i had a client's brand voice go completely sideways last week because i left some old campaign briefs in the project context and now it just hallucinates random slang every time we try to draft a caption.



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3f163 No.2300[Reply]

another guide telling me to benchmark competitors and use tools for strategy. it's all just basic stuff like checking engagement or picking a dashboard, nothing new. i already know how to read a graph anyone actually finding value in these deep dives lately?

full read: https://blog-cms.socialinsider.io/social-media-analytics-guide/


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5847b No.2275[Reply]

meta is actually trying to hold tiktok and youtube hostage with this deal. they're basically saying if those guys don't cough up billions or agree to things like disabling nighttime notifications by default, meta gets a huge discount on their own fine. it's such a transparent way to force the industry into one standard without actually having any real power.
>If TikTok and YouTube don't make the changes and pay up, Meta gets to knock $5 billion off its settlement.
it's wild how they're using the states as a weapon against their competitors. it's not even about kid safety at this point, it's just pure corporate maneuvering. if youtube doesn't play along, does everyone just lose?

found this here: https://www.theverge.com/policy/985556/meta-settlement-youtube-tiktok-snap

5847b No.2283

>>2275
meta wouldn't bother with some heroic weird hostage scheme because they'd rather just pay the fine and keep their proprietary data locked down.

5847b No.2299

>>2283
they'd definitely pay if it meant they could gut the regulations for everyone else too. meta isn't just protecting their own data, they're trying to force a universal standard so nobody can claim they're being singled out later. if they can get the states to mandate these features across the board, it makes the whole 'safety' argument much harder to use against them specifically. it's just basic lobbying



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7a99f No.2298[Reply]

tiktok's us arm is finally jumping into lantern with everyone else. they're even dropping 2 million for that ncmec cybertipline upgrade. >"cut manual processing times in half" lmao as if sharing signals between meta and tiktok actually does anything. it's just more corporate theater to look like they care.

link: https://techcrunch.com/2026/09/22/tiktoks-us-arm-joins-lantern-a-cross-platform-child-safety-initiative/


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d369c No.2271[Reply]

just saw some numbers on how much amazon is spamming their feeds. they're hitting nearly 10 posts a week on instagram and tiktok. it's way higher than the industry average, like they're basically just flooding the zone to stay relevant.
>Amazon exceeded all of those benchmarks by quite a bit.
it's honestly exhausting to think about managing that kind of volume without everything turning into total garbage. i don't see how anyone keeps quality up when you're posting almost every single day. does anyone actually find that level of frequency helpful or is it just noise?

found this here: https://www.rivaliq.com/blog/amazons-social-media-strategy/

d369c No.2290

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>>2271
their content is basically just digital landfill at this point, but what benchmarks were you looking at to get that instagram number?

d369c No.2297

>>2290 digital landfill is a bit dramatic. most of that stuff is just automated product showcases that don't need much effort to push out.



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9a6cd No.2296[Reply]

australia wants to force an algorithm opt-out for users. sounds like a nightmare for anyone trying to actually manage feed relevance. they're also looking at banning stuff like 'dangerous stunts' and even targeting ai chatbots now. the us embassy is already pushing back because it basically gives their comms minister power to define what counts as 'harm'. localized censorship is exactly how you end up with a fragmented, broken web. i can't imagine the engineering headache of building different content delivery logic just for one country. it's all just more layers of political nonsense on top of already bloated systems.

link: https://www.socialmediatoday.com/news/us-opposes-australias-proposed-social-media-restrictions/831217/


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21a53 No.2272[Reply]

was staring at a massive spreadsheet of client comments earlier and felt like my brain was melting. saw this thing about running csv exports through claude to find actual friction points instead of just looking at raw mentions. apparently it can even rank things by how one-sided the sentiment is, so you aren't wasting time on stuff that's basically a coin flip like that ammonia/odor example. ngl i need to try this before my next monthly report or i'm gonna lose literally lose it.

article: https://www.agorapulse.com/blog/ai-social-playbook/e1/

21a53 No.2276

>>2272
>so you aren't wasting time on stuff that's basically a coin flip

did this last week for a retail client with a massive backlog of twitter mentions. tried to manually tag everything and ended up staring at the screen for three hours without even moving the cursor. finally just dumped the whole export into claude and asked it to strip out all the neutral garbage. saved me a huge headache because i could actually focus on the real complaints instead of just noise. the ranking thing is definitely the move though. makes the attribution much cleaner when you aren't guessing if someone was being sarcastic or just bored.
i almost cried seeing my task list shrink

21a53 No.2285

>>2276
>strip out all the neutral garbage
did this for a beauty brand last month and it's such a lifesaver. had hundreds of comments just saying 'nice pic' or 'love this' that literally meant nothing for my report. i found that if you don't tell claude to ignore the fluff, it tries to find deep meaning in basically empty praise which just messes up your data.

21a53 No.2294

>>2285
>it tries to find deep meaning in basically empty praise
make sure u give it a strict list of keywords to ignore for the sentiment pass. works great for cleaning up generic bot spam but fails if ur dealing with sarcasm because claude just misses the joke. clueless ai



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