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Reddit links UK-US trade talk leak to Russian influence campaign

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Reddit has linked account activity involving the leak and amplification of sensitive UK-US trade talks on its platform during the ongoing UK election campaign to a suspected Russian political influence operation.

Or, to put it more plainly, the social network suspects that Russian operatives are behind the leak of sensitive trade data — likely with the intention of impacting the UK’s General Election campaign.

The country goes to the polls next week, on December 12.

The UK has been politically deadlocked since mid 2016 over how to implement the result of the referendum to leave the European Union. The minority Conservative government has struggled to negotiate a brexit deal that parliament backs. Another hung parliament or minority government would likely result in continued uncertainty.

In a post discussing the “Suspected campaign from Russia”, Reddit writes:

We were recently made aware of a post on Reddit that included leaked documents from the UK. We investigated this account and the accounts connected to it, and today we believe this was part of a campaign that has been reported as originating from Russia.

Earlier this year Facebook discovered a Russian campaign on its platform, which was further analyzed by the Atlantic Council and dubbed “Secondary Infektion.” Suspect accounts on Reddit were recently reported to us, along with indicators from law enforcement, and we were able to confirm that they did indeed show a pattern of coordination. We were then able to use these accounts to identify additional suspect accounts that were part of the campaign on Reddit. This group provides us with important attribution for the recent posting of the leaked UK documents, as well as insights into how adversaries are adapting their tactics.

Reddit says that an account, called gregoratior, originally posted the leaked trade talks document. Later a second account, ostermaxnn, reposted it. The platform also found a “pocket of accounts” that worked together to manipulate votes on the original post in an attempt to amplify it. Though fairly fruitlessly, as it turned out; the leak gained little attention on Reddit, per the company.

As a result of the investigation Reddit says it has banned 1 subreddit and 61 accounts — under policies against vote manipulation and misuse of its platform.

The story doesn’t end there, though, because whoever was behind the trade talk leak appears to have resorted to additional tactics to draw attention to it — including emailing campaign groups and political activists directly.

This activity did bear fruit this month when the opposition Labour party got hold of the leak and made it into a major campaign issue, claiming the 451-page document shows the Conservative party, led by Boris Johnson, is plotting to sell off the country’s free-at-the-point-of-use National Health Service (NHS) to US private health insurance firms and drug companies.

Labour party leader, Jeremy Corbyn, showed a heavily redacted version of the document during a TV leaders debate earlier this month, later calling a press conference to reveal a fully un-redacted version of the data — arguing the document proves the NHS is in grave danger if the Conservatives are re-elected.

Johnson has denied Labour’s accusation that the NHS will be carved up as the price of a Trump trade deal. But the leaked document itself is genuine.

It details preliminary meetings between UK and US trade negotiators, which took place between July 2017 and July 2019, in which discussion of the NHS does take place, in addition to other issues such as food standards.

Although the document does not confirm what position the UK might seek to adopt in any future trade talks with the US.

The source of the heavily redacted version of the document appears to be a Freedom of Information (FOI) request by campaigning organisation, Global Justice Now — which told Vice it made an FOI request to the UK’s Department for International Trade around 18 months ago.

The group said it was subsequently emailed a fully unredacted version of the document by an unknown source which also appears to have sent the data directly to the Labour party. So while the influence operation looks to have originated on Reddit, the agents behind it seem to have resorted to more direct means of data dissemination in order for the leak to gain the required attention to become an election-influencing issue.

Experts in online influence operations had already suggested similarities between the trade talks leak and an earlier Russian operation, dubbed Secondary Infektion, which involved the leak of fake documents on multiple online platforms. Facebook identified and took down that operation in May.

In a report analysing the most recent leak, social network mapping and analysis firm Graphika says the key question is how the trade document came to be disseminated online a few weeks before the election.

“The mysterious [Reddit] user seemingly originated the leak of a diplomatic document by posting it around online, just six weeks before the UK elections. This raises the question of how the user got hold of the document in the first place,” it writes. “This is the single most pressing question that arises from this report.”

Graphika’s analysis concludes that the manner of leaking and amplifying the trade talks data “closely resembles” the known Russian information operation, Secondary Infektion.

“The similarities to Secondary Infektion are not enough to provide conclusive attribution but are too close to be simply a coincidence. They could indicate a return of the actors behind Secondary Infektion or a sophisticated attempt by unknown actors to mimic it,” it adds.

Internet-enabled Russian influence operations that feature hacking and strategically timed data dumps of confidential/sensitive information, as well as the seeding and amplification of political disinformation which is intended to polarize, confuse and/or disengage voters, have become a regular feature of Western elections in recent years.

The most high profile example of Russian election interference remains the 2016 hack of documents and emails from Hillary Clinton’s presidential campaign and Democratic National Committee — which went on to be confirmed by US investigators as an operation by Russia’s GRU intelligence agency.

In 2017 emails were also leaked from French president Emmanuel Macron’s campaign shortly before his election — although with apparently minimal impact in that case. (Attribution is also less clear-cut.)

Russian activity targeting UK elections and referendums remains a matter of intense interest and investigation — and had been raised publicly as a concern by former prime minister, Theresa May, in 2017.

Although her government failed to act on recommendations to strengthen UK election and data laws to respond to the risks posed by Internet-enabled interference. She also did nothing to investigate questions over the extent of foreign interference in the 2016 brexit referendum.

May was finally unseated by the ongoing political turmoil around brexit this summer, when Johnson took over as prime minister. But he has also turned a wilfully blind eye to the risks around foreign election interference — while fully availing himself of data-fuelled digital campaign methods whose ethics have been questioned by multiple UK oversight bodies.

A report into Russian interference in UK politics which was compiled by the UK’s intelligence and security parliamentary committee — and had been due to be published ahead of the general election — was also personally blocked from publication by the prime minister.

Voters won’t now get to see that information until after the election. Or, well, barring another strategic leak…

TechCrunch

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Vad kan ChatGPT göra?

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ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Produktrecensioner Uppdatering påverkar mer än engelska webbplatser? via @sejournal, @martinibuster

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Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”

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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.

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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.

Citations

Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]

Searchenginejournal.com

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Undersökningen säger: Amazon, Google litar mer på dina personuppgifter än vad Apple är

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survey-says:-amazon,-google-more-trusted-with-your-personal-data-than-apple-is-–-phonearena
 

MacRumors reveals that more people feel better with their personal data in the hands of Amazon and Google than Apple’s. Companies that the public really doesn’t trust when it comes to their personal data include Facebook, TikTok, and Instagram.

The survey asked over 1,000 internet users in the U.S. how much they trusted certain companies such as Facebook, TikTok, Instagram, WhatsApp, YouTube, Google, Microsoft, Apple, and Amazon to handle their user data and browsing activity responsibly.

Amazon and Google are considered by survey respondents to be more trustworthy than Apple

Those surveyed were asked whether they trusted these firms with their personal data “a great deal,” “a good amount,” “not much,” or “not at all.” Respondents could also answer that they had no opinion about a particular company. 18% of those polled said that they trust Apple “a great deal” which topped the 14% received by Google and Amazon.

However, 39% said that they trust Amazon  by “a good amount” with Google picking up 34% of the votes in that same category. Only 26% of those answering said that they trust Apple by “a good amount.” The first two responses, “a great deal” and “a good amount,” are considered positive replies for a company. “Not much” and “not at all” are considered negative responses.

By adding up the scores in the positive categories,

Apple tallied a score of 44% (18% said it trusted Apple with its personal data “a great deal” while 26% said it trusted Apple “a good amount”). But that placed the tech giant third after Amazon’s 53% and Google’s 48%. After Apple, Microsoft finished fourth with 43%, YouTube (which is owned by Google) was fifth with 35%, and Facebook was sixth at 20%.

Rounding out the remainder of the nine firms in the survey, Instagram placed seventh with a positive score of 19%, WhatsApp was eighth with a score of 15%, and TikTok was last at 12%.

Looking at the scoring for the two negative responses (“not much,” or “not at all”), Facebook had a combined negative score of 72% making it the least trusted company in the survey. TikTok was next at 63% with Instagram following at 60%. WhatsApp and YouTube were both in the middle of the pact at 53% followed next by Google and Microsoft at 47% and 42% respectively. Apple and Amazon each had the lowest combined negative scores at 40% each.

74% of those surveyed called targeted online ads invasive

The survey also found that a whopping 82% of respondents found targeted online ads annoying and 74% called them invasive. Just 27% found such ads helpful. This response doesn’t exactly track the 62% of iOS users who have used Apple’s App Tracking Transparency feature to opt-out of being tracked while browsing websites and using apps. The tracking allows third-party firms to send users targeted ads online which is something that they cannot do to users who have opted out.

The 38% of iOS users who decided not to opt out of being tracked might have done so because they find it convenient to receive targeted ads about a certain product that they looked up online. But is ATT actually doing anything?

Marketing strategy consultant Eric Seufert said last summer, “Anyone opting out of tracking right now is basically having the same level of data collected as they were before. Apple hasn’t actually deterred the behavior that they have called out as being so reprehensible, so they are kind of complicit in it happening.”

The Financial Times says that iPhone users are being lumped together by certain behaviors instead of unique ID numbers in order to send targeted ads. Facebook chief operating officer Sheryl Sandberg says that the company is working to rebuild its ad infrastructure “using more aggregate or anonymized data.”

Aggregated data is a collection of individual data that is used to create high-level data. Anonymized data is data that removes any information that can be used to identify the people in a group.

When consumers were asked how often do they think that their phones or other tech devices are listening in to them in ways that they didn’t agree to, 72% answered “very often” or “somewhat often.” 28% responded by saying “rarely” or “never.”

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