#radicalization — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #radicalization, aggregated by home.social.
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"Analysts increasingly describe modern #antisemitism as a convergence phenomenon — where far-left anti-#Zionism, far-right #conspiracy culture, #online #radicalization and broader political nihilism begin feeding one another. #Jews become symbolic targets onto which fractured societies project anger and distrust. As #JoshKaplan recently reminded us in The Free Press, the late #Rabbi Lord #JonathanSacks warned that “antisemitism is a projection, and is caused not by Jews but by internal conflicts in the societies that give rise to it.” That diagnosis feels painfully relevant now.
#America is experiencing a broader coarsening of civic life. Political rage has become performative. #Socialmedia rewards outrage over restraint. #Conspiracytheories spread faster than facts. Institutions are distrusted almost by default. In such an environment, antisemitism flourishes because it offers unstable movements a visible villain onto whom complex frustrations can be pinned."
https://www.jewishexponent.com/editorial-the-new-shape-of-antisemitism/
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UK’s criminalization of direct-action climate protests has counterproductive results, study says
Punitive measures against nonviolent climate activists, including those who blocked roads or damaged buildings, may contribute to their radicalization…
#ClimateDefenders #Criminalization #Radicalization #ClimateJustice #Government #Collusion
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UK’s criminalization of direct-action climate protests has counterproductive results, study says
Punitive measures against nonviolent climate activists, including those who blocked roads or damaged buildings, may contribute to their radicalization…
#ClimateDefenders #Criminalization #Radicalization #ClimateJustice #Government #Collusion
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UK’s criminalization of direct-action climate protests has counterproductive results, study says
Punitive measures against nonviolent climate activists, including those who blocked roads or damaged buildings, may contribute to their radicalization…
#ClimateDefenders #Criminalization #Radicalization #ClimateJustice #Government #Collusion
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UK’s criminalization of direct-action climate protests has counterproductive results, study says
Punitive measures against nonviolent climate activists, including those who blocked roads or damaged buildings, may contribute to their radicalization…
#ClimateDefenders #Criminalization #Radicalization #ClimateJustice #Government #Collusion
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UK’s criminalization of direct-action climate protests has counterproductive results, study says
Punitive measures against nonviolent climate activists, including those who blocked roads or damaged buildings, may contribute to their radicalization…
#ClimateDefenders #Criminalization #Radicalization #ClimateJustice #Government #Collusion
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Pizzagate's role in viral disinformation
https://negativepid.blog/pizzagates-role-in-viral-disinformation/#pizzagate #conspiracies #socialMedia #radicalization #politics #hoaxes #extremism #fringeTheories #misinformation #disinformation #negativepid
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The Granddaughter: Family, Radicalization & Divided Germany "Schlink offers an unflinching look at the neo-Nazi movement & the compromises people make out of love" Sale: $10.99 to $1.99 Bernhard Schlink Rating: 4.3/5 (1,309 Reviews) #Historical #Fiction #Germany #Family #Radicalization #BookSky
The Granddaughter: A Powerful ... -
Kazakh MP Calls for a Legislative Ban on Radical Religious Movements
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Pizzagate's role in viral disinformation
https://negativepid.blog/pizzagates-role-in-viral-disinformation/#pizzagate #conspiracies #socialMedia #radicalization #politics #hoaxes #extremism #fringeTheories #misinformation #disinformation #negativepid
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Internet fandoms: fun and radicalization
https://negativepid.blog/internet-fandoms-from-fun-to-radicalization/
#fandoms #socialMedia #radicalization #politics #hoaxes #extremism #fringeTheories #misinformation #disinformation #negativepid
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Behind 8chan and 8kun: Fredrick Brennan
https://negativepid.blog/behind-8chan-and-8kun-fredrick-brennan/#8chan #8kun #FredrickBrennan #anonymity #conspiracies #socialMedia #radicalization #politics #hoaxes #extremism #fringeTheories #misinformation #disinformation #onlineBehaviour #onlineForums #identity #negativepid
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Tradwives: Patriarchy Rebranded!
Hosted by the DA Global Women’s Caucus
March 17, 2026 at 7pm CET | 1pm ET
🟣 Enitza Templeton, Former tradwife
🟣 Dr. Eviane Leidig, Expert on online radicalization
🟣 Sara Wiles, Founder, Start and Grow Co
For more information and to register: https://www.democratsabroad.org/da_helpdesk/tradwives_rebranding_the_patriarchy
🗳️📮✅🇺🇸#DemocratsAbroad
🗳️🇺🇸🌍 #VoteFromAbroad
💜✊👭 #IWD2026 #InternationalWomensDay #WomensHistoryMonth #IWD #TradWives #patriarchy #feminism #radicalization -
I saw this on Mastodon and almost had a stroke.
@davidgerard wrote:
“Most of the AI coding claims are conveniently nondisprovable. What studies there are show it not helping coding at all, or making it worse
But SO MANY LOUD ANECDOTES! Trust me my friend, I am the most efficient coder in the land now. No, you can’t see it. No, I didn’t measure. But if you don’t believe me, you are clearly a fool.
These guys had one good experience with the bot, they got one-shotted, and now if you say “perhaps the bot is not all that” they act like you’re trying to take their cocaine away.”
First, the term is falsifiable, and proving propositions about algorithms (i.e., code) is part of what I do for a living. Mathematically human-written code and AI-written code can be tested, which means you can falsify propositions about them. You would test them the same way.
There is no intrinsic mathematical distinction between code written by a person and code produced by an AI system. In both cases, the result is a formal program made of logic and structure. In principle, the same testing techniques can be applied to each. If it were really nondisprovable, you could not test to see what is generated by a human and what is generated by AI. But you can test it. Studies have found that AI-generated code tends to exhibit a higher frequency of certain types of defects. So, reviewers and testers know what logic flaws and security weaknesses to look for. This would not be the case if it were nondisprovable.
You can study this from datasets where the source of the code is known. You can use open-source pull requests identified as AI-assisted versus those written without such tools. You then evaluate both groups using the same industry-standard analysis tools: static analyzers, complexity metrics, security scanners, and defect classification systems. These tools flag bugs, vulnerabilities, performance issues, and maintainability concerns. They do so in a consistent way across samples.
A widely cited analysis of 470 real pull requests reported that AI-generated contributions contained roughly 1.7 times as many issues on average as human-written ones. The difference included a higher number of critical and major defects. It also included more logic and security-related problems. Because these findings rely on standard measurement tools — counting defects, grading severity, and comparing issue rates — the results are grounded in observable data. Again, I am making a point here. It’s testable and therefore disproveable.
This is a good paper that goes into it:
In this paper, we present a large-scale comparison of code authored by human developers and three state-of-the-art LLMs, i.e., ChatGPT, DeepSeek-Coder, and Qwen-Coder, on multiple dimensions of software quality: code defects, security vulnerabilities, and structural complexity. Our evaluation spans over 500k code samples in two widely used languages, Python and Java, classifying defects via Orthogonal Defect Classification and security vulnerabilities using the Common Weakness Enumeration. We find that AI-generated code is generally simpler and more repetitive, yet more prone to unused constructs and hardcoded debugging, while human-written code exhibits greater structural complexity and a higher concentration of maintainability issues. Notably, AI-generated code also contains more high-risk security vulnerabilities. These findings highlight the distinct defect profiles of AI- and human-authored code and underscore the need for specialized quality assurance practices in AI-assisted programming.
https://arxiv.org/abs/2508.21634
Something I’ve started to notice about a lot of the content on social media platforms is that most of the posts people are liking, sharing, and memetically mutating—and then spreading virally—usually don’t include any citations, sources, or receipts. It’s often just some out-of-context screenshot with no reference link or actual sources.
A lot of the anti-AI content is not genuine critique. It’s often misinformation, but people who hate AI don’t question it or ask for sources because it aligns with their biases. The propaganda on social media has gotten so bad that anything other than heavily curated and vetted feeds is pretty much useless, and it’s filled with all sorts of memetic contagions with nasty hooks that are optimized for you algorithmically. I am at the point where I will disregard anything that is not followed up with a source. Period. It is all optimized to persuade, coerce, or piss you off. I am only writing about this because this I’m actually able to contribute genuine information about the topic.
That they said symbolic propositions written by AI agents (i.e., code) are non-disprovable because they were written by AI boggles my mind. It’s like saying that an article written in English by AI is not English because AI generated it. It might be a bad piece of text, but it’s syntactically, semantically, and grammatically English.
Basically, any string of data can be represented in a base-2 system, where it can be interpreted as bits (0s and 1s). Those bits can be used as the basis for symbolic reasoning. In formal propositional logic, a proposition is a sequence of symbols constructed according to strict syntax rules (atomic variables plus logical connectives). Under a given semantics, it is assigned exactly one truth value (true or false) in a two-valued logic system.
They are essentially saying that code written by AI is not binary, isn’t symbolically logical at all, and cannot be evaluated as true or false by implying it is nondisproveable. At the lowest level, compiled code consists of binary machine instructions that a processor executes. At higher levels, source code is written in symbolic syntax that humans and tools use to express logic and structure. You can also translate parts of code into formal logic expressions. For example, conditions and assertions in a program can be modeled as Boolean formulas. Tools like SAT/SMT solvers or symbolic execution engines check those formulas for satisfiability or correctness. It blows my mind how confidently people talk about things they do not understand.
Furthermore that they don’t realize the projection is wild to me.
@davidgerard wrote:
“But SO MANY LOUD ANECDOTES! Trust me my friend, I am the most efficient coder in the land now. No, you can’t see it. No, I didn’t measure. But if you don’t believe me, you are clearly a fool.”
They are presenting a story—i.e., saying that the studies are not disprovable—and accusing computer scientists of using anecdotal evidence without actually providing evidence to support this, while expecting people to take it prima facie. You’re doing what you are accusing others of doing.
It comes down to this: they feel that people ought not to use AI, so they are tacitly committed to a future in which people do not use AI. For example, a major argument against AI is the damage it is doing to resources, which is driving up the prices of computer components, as well as the ecological harm it causes. They feel justified in lying and misinforming others if it achieves the outcome they want—people not using AI because it is bad for the environment. That is a very strong point, but most people don’t care about that, which is why they lie about things people would care about.It’s corrupt. And what’s really scary is that people don’t recognize when they are part of corruption or a corrupt conspiracy to misinform. Well, they recognize it when they see the other side doing it, that is. No one is more dangerous than people who feel righteous in what they are doing.
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@cloudskater wrote:
Some instances are run by bad people. Hell, a few projects like Lemmy and Matrix are DEVELOPED by assholes, but the FLOSS and federated nature of these platforms allows us to bypass/fork them and create healthy spaces outside their reach.
Nope, that is actually what is killing the fediverse. I just explained here:
The issue is the divergence in semantic interpretation that emerges at the interpretation layer. ActivityPub standardizes message delivery and defines common activity types. However, it leaves extension semantics and application-layer policy decisions to individual implementations. Servers may introduce custom JSON-LD namespaces and enforce local behaviors, such as reply restrictions, while remaining protocol-compliant. But, the noise created by divergences are problematic, because it creates unexpected, unintended, and unpredictable behavior.
Divergence appears when implementations rely on non-normative metadata and assume reciprocal handling to preserve a consistent user experience. Behavioral alignment then varies. Syntactic exchange succeeds, but behavioral consistency is not guaranteed. Though instances continue to federate at the transport level, policy semantics and processing logic differ across deployments. Those differences produce inconsistent experiences and results between implementations.
That leads to fragmentation, specifically semantic or behavioral fragmentation and an inconsistent user experiences. ActivityPub ensures syntactic interoperability, but semantic interoperability (everyone interprets and enforces rules the same way) varies. This creates a system that is federated at the transport level yet fragmented in behavior and expectations across implementations. It is funny how the thing that the fediverse touted has made the entire thing very brittle. ActivityPub technically federates correctly, but semantically falls apart once servers start adding their own behavioral rules.
https://neon-blue-demon-wyrm.x10.network/archives/16932
FYI, I’m not doing culture wars or political debates. I’m just saying this idea of “forking away” from them is literally breaking the fediverse’s distributed network and creating all kinds of issues with semantic interoperability. Yes, federation is still happening at the delivery level, but the semantic issues are out of fucking control. You are a federation by the very sheer skin of your teeth.
The reason why developers are leaving the fediverse is because you folks don’t take criticism. You respond to criticism with — I’m being so serious right now — political manifestos and harassing developers. ActivityPub developers and authors oversold you folks on the capabilities of ActivityStreams. They flat-out lied to y’all.
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ActivityPub Server’s Custom Reply‑Control Extensions Undermine Federation
It seems like Activitbypub developers are extending ActivityPub with optional metadata to fix a lot of its issues, but that is still problematic. Trying to add moderation tools and user control to threads seems to be the ongoing battle. I am fascinated by dumpster fires, so I’ve started looking at the ActivityPub protocol in detail. I tend to become fascinated with things that are going down in flames.
As a brief recap of the problem:
So, one of the very popular features on Bluesky—also popular on Twitter—is the ability to select who can reply to a post. A major issue in the Fediverse is the inability to decide who can reply, and once you block someone, their harassing reply is still there. I honestly thought it was simply a case of them choosing not to add or address it for cultural reasons. What is clear from that thread is that they were always aware that the ActivityPub protocol and most Fediverse implementations don’t provide a universal way to control reply visibility or enforce blocks across instances.
An ActivityPub server that has reply control is GoToSocial. ActivityPub, as defined by the W3C specification, standardizes how servers federate activities. It defines actors, inboxes, outboxes, and activity types (Create, Follow, Like, Announce, etc.) expressed using ActivityStreams 2.0. It also specifies delivery mechanics (including how a Create activity reaches another server’s inbox) and how collections behave.
The specification does not include interaction policy semantics such as “only followers may reply” or “replies require manual approval.” There is no field in the normative vocabulary requiring conforming servers to enforce reply permissions. That category of rule is outside the protocol’s defined contract.
GoToSocial implements reply controls through what it calls interaction policies. These appear as additional properties on ActivityStreams objects using a custom JSON-LD namespace controlled by the GoToSocial project.
JSON-LD permits additional namespaced terms. This means the document remains structurally valid ActivityStreams and federates normally. The meaning of those custom fields, however, comes from GoToSocial’s own documentation and implementation. Other servers can ignore them without violating ActivityPub because they are not part of the interoperable core vocabulary.
Enforcement occurs locally. When a remote server sends a reply—a Create activity whose object references another via inReplyTo—ActivityPub governs delivery, not acceptance criteria. Whether the receiving server checks a reply policy, rejects the activity, queues it, or displays it is determined in the server’s inbox-processing code. The decision to accept, display, or require approval happens after successful protocol-level delivery. This behavior belongs to the application layer.
These are server-side features layered on top of ActivityPub’s transport and data model that are not actually part of ActivityPub. The protocol ensures standardized delivery of activities; however, the server implementation defines additional constraints and user-facing behavior. Two GoToSocial instances may both recognize and act on the same extension fields. However, a different implementation, such as Mastodon, has no obligation under the specification to interpret or enforce GoToSocial’s interactionPolicy properties. These fields function as extension metadata rather than protocol requirements.
The semantics of GoToSocial are not part of the specification’s defined vocabulary and processing rules for ActivityPub. They no longer operate purely at the protocol layer; it has become an application-layer contract implemented by specific servers.
Let’s use the AT Protocol as an example. Bluesky’s direct messages (DMs) are not currently part of the AT Protocol (ATProto). The AT Protocol has nothing that specifies anything for DMs, so DMs are not part of the AT Protocol. The AT Protocol was designed to handle public social interactions, but it does not define private or encrypted messaging. Bluesky implemented DMs at the application level, outside of the core protocol. DMs are centralized and stored on Bluesky’s servers. What is happening with servers like GoToSocial is sort of like that. The difference is that the AT Protocol was designed for different app views; ActivityPub was not.
The issue is the divergence in semantic interpretation that emerges at the interpretation layer. ActivityPub standardizes message delivery and defines common activity types. However, it leaves extension semantics and application-layer policy decisions to individual implementations. Servers may introduce custom JSON-LD namespaces and enforce local behaviors, such as reply restrictions, while remaining protocol-compliant. But, the noise created by divergences are problematic, because it creates unexpected, unintended, and unpredictable behavior.
Divergence appears when implementations rely on non-normative metadata and assume reciprocal handling to preserve a consistent user experience. Behavioral alignment then varies. Syntactic exchange succeeds, but behavioral consistency is not guaranteed. Though instances continue to federate at the transport level, policy semantics and processing logic differ across deployments. Those differences produce inconsistent experiences and results between implementations.
That leads to fragmentation, specifically semantic or behavioral fragmentation and an inconsistent user experiences. ActivityPub ensures syntactic interoperability, but semantic interoperability (everyone interprets and enforces rules the same way) varies. This creates a system that is federated at the transport level yet fragmented in behavior and expectations across implementations. It is funny how the thing that the fediverse touted has made the entire thing very brittle. ActivityPub technically federates correctly, but semantically falls apart once servers start adding their own behavioral rules.
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It’s safe to say that #Trump & the #RepublicanParty are deploying a new form of political #propaganda, updating a dark art for the platform era. But it’s also a signal that a new kind of political style is enveloping *conservatism* — one that is #ruthless, #inflammatory & designed for maximum #viral reach.
#socialmedia #incitement #sadism #extremism #radicalization #demented #sickness
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#JDVance has threatened his #critics with #deportation via a GIF image. One #Republican congressman even suggested that an undocumented immigrant be thrown out of a helicopter, Pinochet style. Faced with criticism over one such taunting post, Kaelan Dorr, a White House propagandist, announced: “The arrests will continue. The memes will continue.”
#Trump #RepublicanParty #socialmedia #propaganda #ruthless #inflammatory #viral #incitement #sadism #extremism #radicalization #demented #sickness
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Like an unhinged Zoomer, they’ve relentlessly posted #sadistic memes about policy decisions in the style of #socialmedia trends. A highlight reel of #ICE arrests set to “Ice Ice Baby.” An ASMR style video that features people in shackles boarding a #deportation flight. An image of a woman being arrested, rendered in the style of a Hayao Miyazaki movie.
#Trump #RepublicanParty #propaganda #ruthless #inflammatory #viral #incitement #extremism #radicalization #demented #sickness
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If you want to know where #Republican #politics is heading, look at the memes. Since the start of its second term, the #Trump admin & its #GOP surrogates have been crashing out online.
#RepublicanParty #socialmedia #propaganda #ruthless #inflammatory #viral #incitement #sadism #extremism #radicalization #demented #sickness
https://www.nytimes.com/2025/07/10/opinion/trolling-democracy.html?unlocked_article_code=1.W08.KOy3.xqkEr-0Wq-sm&smid=nytcore-ios-share&referringSource=articleShare -
#Military members boo #Newsom, #Biden & the #press during #Trump speech
Members of a crowd filled with members of the military & their families booed & jeered Trump’s political rivals & the press Tues at the president’s prompting during his address at #FortBragg in North Carolina.
The response from attendees, most of whom were wearing military fatigues, was a jarring sight given the military’s history as a traditionally #nonpartisan entity.
#USpol #radicalization #law
https://thehill.com/homenews/administration/5343092-trump-political-rivals-press-boos/ -
Andreas Malm: “Sabotage has to be precise”
The Berliner, 2022, https://www.the-berliner.com/politics/andreas-malm-sabotage-has-to-be-precise-how-to-blow-up-a-pipeline-nord-stream-2-interview/ @[email protected] @[email protected]
#infrastructures #Berlin #NordStream2 #vandalism #climateCatastrophe #climateChange #LNG #oilAndGas #energy #sabotage #AndreasMalm #Malm #activism #climateAction #feelGood #violence #property #MoralBeauty #museums #paintings #anger #strikes #protests #rootCause #EndeGelände #accountability #ExtinctionRebellion #XR #policeViolence #ethics #racialProfiling #stateRacism #struggle #armedStruggle #ecoTerrorism #TheLeft #leftWing #leftPolitics #resistance #mitigation #greenPolitics #Greens #conservation #environmentalists #explainability #militancy #spectacle #blockades #Liberals #BC #CoastalGasLinkPipeline #globalWarming #radicalization #terrorists #deterrence #deterrent #finance #investment
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@persagen Keep the sectarian extremist rebels away from education!
Unnecessary to add, that President Ulysses Grant didn't want revanchist southern rebels to dictate & pervert the contents of library shelves or curricula of students.
"Resolve that neither the state nor nation, or both combined, shall support institutions of learning other than those sufficient to afford every child growing up in the land the opportunity of a good common school education, unmixed with sectarian, Pagan, or Atheistical tenets. Leave the matter of religion to the family altar, the church, and the private school, supported entirely by private contributions. Keep the church and the state forever separate."
— President & U.S. Army General Ulysses S. Grant —#EducationNow #FirstAmendment #FreedomOfInformation #FreedomOfEducation #KnowledgeIsPower #ExtremistInterference #Subversion #Insurrection #SuppressionOfKnowledge #Misinformation #Disinformation #BehavioralModification #Gleichschaltung #Radicalization #ProsecuteALLRebels #DisqualifyALLRebels