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New Facebook features fight election lies everywhere but ads

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Heaven forbid a political candidate’s Facebook account gets hacked. They might spread disinformation…like they’re already allowed to do in Facebook ads…

Today Facebook made a slew of announcements designed to stop 2020 election interference. “The bottom line here is that elections have changed significantly since 2016,” and so has Facebook in response, CEO Mark Zuckerberg said on a call with reporters. “We’ve gone from being on our back foot to proactively going after some of the biggest threats out there.”

Facebook Protect

One new feature is called Facebook Protect. By hijacking accounts of political candidates or their campaign staff, bad actors can steal sensitive information, expose secrets and spread disinformation. So to safeguard these vulnerable users, Facebook is launching a new program with extra security they can opt into.

Facebook Protect entails requiring two-factor authentication, and having Facebook monitor for hacking attempts like suspicious logins. Facebook can then inform the rest of an organization and investigate if it sees one member under attack.

Today’s other announcements include:

  • The takedown of foreign influence campaigns, three from Iran and one from Russia in order to protect users from deception.
  • Labeling state-owned or controlled media organizations like Russia Today on their Facebook Pages and the Ad Library to help users identify potential propaganda.
  • Added Page ownership transparency for ePages with large U.S. audiences and those verified to run political ads, which will have to display their owner’s organization’s legal name, city and phone number or website so it’s clear where information comes from.
  • New transparency features around political ad spend, including a U.S. presidential candidate spend tracker, more geographic spending details, info on which apps an ad appears on and programmatic access to downloads of political ad creative.
  • Much more prominent fact-checking labels will now run as interstitials warnings atop photos and videos on Facebook and Instagram that were fact-checked as false, rather than smaller labels attached below the post to make sure users know information is false before consuming it. Users will also be warned before they share posts fact-checked as false to keep them from going viral.

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  • A wider ban on voter suppression ads that suggest it’s useless to vote, provide inaccurate polling or voter eligibility information or threaten people if they vote or based on the outcome of an election to prevent intimidation and confusion.
  • A $2 million investment from Facebook into media literacy projects to develop new methods of educating people to understand political social media and ads.
  • Facebook Protect offering hack monitoring services to elected officials, candidates’ political party committees, government agencies and departments surrounding elections and verified users involved in elections.

Facebook Page Transparency Spend Tracker

Combined, the efforts could protect both campaigns and constituents from misinformation while giving everyone more clarity about where content originates. Yet the approach highlights Facebook’s tightrope walk between policing its networks and overstepping into censorship.

In a speech last week, Zuckerberg tried to firmly plant Facebook as erring on the side of giving people a voice rather than stifling speech. He raised the threat of China’s influence over foreign businesses by dangling its giant market in exchange for adherence to its political values. And he tried to defend allowing lies in political ads, arguing that banning political ads on Facebook as I’ve recommended the company do would benefit incumbents and silence challengers who don’t have media attention.

Trump Ad 1

A Trump ad spreads misinformation claiming Democrats want to repeal the second amendment

Yet throughout the call, Zuckerberg was hammered with questions about Facebook’s willingness to fact check what users share with friends, but not what politicians pay to show to millions of voters.

People should make up their own minds about what candidates are credible. I don’t think those determinations should come from tech companies . . . People need to be able to see this content for themselves,” Zuckerberg insisted. Yet if Facebook is willing to cover photos containing misinformation with a warning label you have to click to see past, it’s strange that it’s unwilling to do the same for political ads.

Like farming out fact-checking to third-party news outlets as Facebook already does, banning political ads wouldn’t force Facebook to judge the truth of individual statements, and they’d still have the right to share what they want to their own followers.

When I asked why he believes banning political ads would favor incumbents, Zuckerberg admitted, “You’re right that incumbents can raise more money,” and he wasn’t sure there’d been a comprehensive study on the matter. His defense relied on anecdotal beliefs of unnamed sources:

I’ve talked to a lot of people. The general belief that they have, when they’re a challenger, is that they rely on different mechanisms like ads in order to get their voices into a debate more than incumbents do . . .

From all of the conversations that I’ve had, the general overwhelming consensus from people who are participating in these things and who work on them has been that removing political ads would favor incumbents.

While the rest of Facebook’s announcements today felt like sensible steps in the right direction, the company will need stronger arguments for why it polices misinformation shared by users but not political ad campaigns.

Zuckerberg Elections

If it wants to find a better middle-ground, it could offer standardized ad units for political campaigns that endorse the candidate and ask for donations, but can’t make potentially untruthful assertions about them or their competitors. Alternatively it could apply fact-check labels to political ads without making calls of veracity itself. Facebook could also build other ways for challengers to grow their voice outside of ads so it could ban them without supposedly empowering incumbents.

Otherwise, it faces a political ad misinformation arms race in stern contrast to its other pro-truth efforts announced today. What will Facebook do if campaigns make increasingly malicious and inaccurate statements about their rivals via ads, claiming only donations to their candidate can save society? And what if they keep pouring all the money they unscrupulously raise into more ads? “My opponent eats babies. Donate to me by midnight. Only I can stop them from becoming America’s dictator.”

At least most of the time, users can try to avoid politics by ignoring campaign pages and unfollowing their crazy uncles. But untrue ads inject polarization and discord into people’s feeds. Facebook’s policies give the richest, most craven candidates the loudest voices. Can the social network and the democratic process survive a whole year of top spenders shouting lies?

TechCrunch

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What can ChatGPT do?

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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 Product Reviews Update Affects More Than English Language Sites? 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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Survey says: Amazon, Google more trusted with your personal data than Apple is

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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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