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Twitter to relaunch account verifications in early 2021, asks for feedback on policy

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Twitter announced today it’s planning to relaunch its verification system in 2021, and will now begin the process of soliciting public feedback on the new policy ahead of its implementation. Under the policy, Twitter will initially verify six types of accounts, including those belonging to government officials; companies, brands and nonprofit organizations; news; entertainment; sports; and activists, organizers and other influential individuals. The number of categories could expand in time.

Twitter’s verification system, which provides a blue checkmark to designate accounts belonging to public figures, was paused in 2017 as the company tried to address confusion over what it meant to be verified.

The issue at the time was that Twitter had verified the account belonging to Jason Keller, the person who organized the deadly white supremacist rally in Charlottesville, Virginia. In response to the wave of criticism directed at Twitter as a result of this action, the company defended its decision by pointing to its policies around account verification, which explained its blue badges were awarded to accounts of “public interest.”

Critics argued that genuinely noteworthy figures were still struggling to get their own accounts verified, and that verifying a known white supremacist was not something that should ever be in the “public interest.” As a result, Twitter in November 2017 decided to pause all account verifications.

The following year, the company announced work on the verification system would be placed on a longer, more indefinite hold, so Twitter could direct its resources to focus on election integrity. That proved to be a significant undertaking, as it turned out.

Though the company this year verified medical experts tweeting about COVID-19 and labeled candidates running for public office, these efforts were managed in more of a one-off fashion.

Now, with the 2020 U.S. presidential election having wrapped, and with a transition underway, Twitter says work on its new verification system will finally resume.

The company today shared a draft of its new verification policy in order to gain public feedback. The policy details more specifically which accounts can be verified and introduces additional guidelines that could limit some accounts from receiving the blue badge.

For example, Twitter says the account must be “notable and active,” and the badge won’t be awarded to any accounts with incomplete profiles. Twitter will also deny or remove verification badges from otherwise qualified individuals if their accounts are found to be in repeated violation of the Twitter Rules.

The company additionally admitted it had verified accounts over the years which should not be, as based on these guidelines. To correct this, Twitter will begin to automatically remove badges from accounts that are inactive or have incomplete profiles, to help it streamline its work going forward.

The policy also lays out specifics about how it will determine whether an account in a supported category will qualify.

For example, news organizations will have to adhere to professional standards for journalism, and independent or freelance journalists will need to provide at least three bylines in qualifying organizations published in the last six months. Entertainers will need to be able to point to credits on their IMDb page or to references in verified news publications. Government officials will need to show a public reference on an official government website, party website or multiple references by news media. Sports figures will have to appear on team websites, rosters or in sports data services like Sportradar. There are a few other ways to be verified in these categories, too.

The guidelines for public figures are more detailed, as they must meet two different criteria for “notability” — one that quantifies their Twitter activity and another that highlights their off-Twitter notability, like a Wikipedia page, Google Trends profile, profile on an official advocacy site and more.

“We know we can’t solve verification with a new policy alone — and that this initial policy won’t cover every case for being verified — but it is a critical first step in helping us provide more transparency and fairer standards for verification on Twitter as we reprioritize this work,” a company announcement stated. “This version of the policy is a starting point, and we intend to expand the categories and criteria for verification significantly over the next year,” it noted.

Twitter users will be able to offer feedback on the new verification policy starting today, November 24, 2020, and continuing through December 8, 2020. The policy is being made available in English, Hindi, Arabic, Spanish, Portuguese and Japanese. Users can either respond to the survey Twitter has posted or they can choose to tweet their feedback publicly, using the hashtag #VerificationFeedback.

In addition, Twitter says it’s working with local non-governmental organizations and its Trust and Safety Council to gain a range of other perspectives.

After December 8, 2020, Twitter will train its team on the new policy and introduce the final version by Decemeber 17, 2020. The verification system itself, which will include a new public application process, will begin in early 2021.

Though Twitter is giving itself time to make policy changes based on public feedback, it had already begun to develop the underlying technology for the verification application process.

Twitter confirmed to TechCrunch this June it was in the process of building a new in-app system for requesting verification. The feature had been found buried in the app’s code by reverse engineer Jane Manchun Wong, who tweeted a screenshot of a new option, “Request Verification,” that appeared under Twitter’s account settings. At the time, Twitter wouldn’t confirm when the new system would go live.

Though not everyone will qualify for verification, Twitter says it’s working on other features that will help to better distinguish accounts on its platform. Also in 2021, the company will introduce new account types and labels that will help Twitter users identify themselves on their profiles. More details on these features will be announced in the weeks to come, Twitter says.

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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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