TikTok Editorial Analysis

TikTok seems to be skewing things in the interests of the Chinese Communist Party. (This is a serious analysis, and the methodology looks sound.)

Conclusion: Substantial Differences in Hashtag Ratios Raise
Concerns about TikTok’s Impartiality

Given the research above, we assess a strong possibility that content on TikTok is either amplified or suppressed based on its alignment with the interests of the Chinese Government. Future research should aim towards a more comprehensive analysis to determine the potential influence of TikTok on popular public narratives. This research should determine if and how TikTok might be utilized for furthering national/regional or international objectives of the Chinese Government…

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Russian AI-generated propaganda struggles to find an audience 

A long-running Kremlin propaganda campaign is experimenting with AI to create phony news sites but isn’t reaching a significant audience.

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Political Disinformation and AI

Elections around the world are facing an evolving threat from foreign actors, one that involves artificial intelligence.

Countries trying to influence each other’s elections entered a new era in 2016, when the Russians launched a series of social media disinformation campaigns targeting the US presidential election. Over the next seven years, a number of countries—most prominently China and Iran—used social media to influence foreign elections, both in the US and elsewhere in the world. There’s no reason to expect 2023 and 2024 to be any different…

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To win the internet, the Pentagon’s info ops need more humanity and a dash of absurdity

U.S. information operations should dispense with deception and obfuscation and embrace truth as well as the absurdity of meme culture.

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Adversarial ML Attack that Secretly Gives a Language Model a Point of View

Machine learning security is extraordinarily difficult because the attacks are so varied—and it seems that each new one is weirder than the next. Here’s the latest: a training-time attack that forces the model to exhibit a point of view: Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures.”

Abstract: We investigate a new threat to neural sequence-to-sequence (seq2seq) models: training-time attacks that cause models to “spin” their outputs so as to support an adversary-chosen sentiment or point of view—but only when the input contains adversary-chosen trigger words. For example, a spinned summarization model outputs positive summaries of any text that mentions the name of some individual or organization…

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IBM joins other tech giants and removes Russian state controlled network from its cloud service

An IBM spokesperson said it was “unaware” of its cloud platform’s involvement, and took “steps” to make sure RT content was available via its services

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Chinese state media propaganda found in 88% of Google, Bing news searches

Brookings researchers conducted their study over 120 days.

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Network of hyperlocal Russian Telegram channels spew disinformation in occupied Ukraine

Research published by a Ukrainian think tank shows a network of at least 88 local Telegram channels.

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