Connect with us

NEWS

Twitter now lets everyone limit replies to their tweets

Published

on

Twitter may describe itself as the town square, but that doesn’t mean you have to talk to everyone walking past your seat at the cafe. Today, to increase the amount of “meaningful conversations” that take place on Twitter, and to help people weed out abuse and spam in their replies, the company announced that it is rolling out a new feature where users can limit who replies to their Tweets.

After a brief run in beta, the feature is rolling out globally starting today to users of the iOS and Android apps, as well as twitter.com, Suzanne Xie noted in a blog post announcing the feature. TweetDeck is not yet supported, Twitter tells me.

A small globe icon will start to appear at the bottom of your tweet, and if you do nothing, everyone will still be able to reply — this is the default option. Or, you can tap it and limit replies just to those who follow you; or just to those who you tag in the tweet itself.

And, if you pick the third of these and tag no one, it’s also a way to broadcast a tweet or a thread of tweets with no replies at all. (This all applies to “open” accounts; those that have locked who can view their tweets are limited by default; and it doesn’t seem to replace the option to hide replies, which Twitter launched last year. We asked and Twitter declined to make any update or statement on the “hide replies” functionality.)

Those who can’t reply will get a greyed-out icon, but they can still view, retweet, retweet with comment and “like” the tweets.

The basic idea behind limiting replies is more control. Specifically, setting parameters around those who can reply can help the original poster curtail abusive or trolling replies, or to limit replies to keep the conversation on track. Both can be especially critical in a number of use cases common on Twitter. Those tweeting about a sensitive issue or a political topic are classic scenarios that bring out trolls. And those trying to broadcast a conversation with a specific group (or indeed in a monologue) with the intention of making that conversation publicly viewable can now do it without interruption.

“Sometimes people are more comfortable talking about what’s happening when they can choose who can reply,” Xie wrote. “We’ve seen people use these settings to have conversations that weren’t really possible before. Starting today, everyone will be able to use these settings so unwanted replies don’t get in the way of meaningful conversations.”

Xie said that beta test feedback has been positive. Those using the feature said they felt more comfortable and protected from spam and abuse, and the feature is getting used: It found that those who have submitted abuse reports and had access to the new limit reply tool were three times more likely to use the settings.

It seems that limiting replies is more of a complement to, not a replacement for, muting and blocking: 60% of those using the limit replies feature weren’t already muting and blocking other users. Xie doesn’t mention how it is used alongside another spam-controlling feature Twitter launched last year, hiding replies.

People who are limited from replying directly can still retweet with a comment, and thus still inject whatever they want to say. But Xie noted that “these settings prevented an average of three potentially abusive replies while only adding one potentially abusive retweet with comment,” adding that there was no uptick in unwanted direct messages, either.

The feature getting announced today has been a while in the making, both from a product and even longer from an idealogical point of view.

The concept for limiting replies was first announced back at January at CES, when Kayvon Beykpour, Twitter’s VP of Product said that the primary motivation [for the feature] was control. “We want to build on the theme of authors getting more control and we’ve thought … that there are many analogs of how people have communications in life,” he said at the time.

The feature then formally started to roll out in a limited test in May, and the version that is getting turned on today looks just like that. (In fact, the screen shots are exactly the same, except with a more recent date on the tweets.)

But the bigger thinking behind the new feature stretches back earlier than this year.

Twitter has long (as in years now) been working on creating better ways to channel its open-ended social platform to keep it from getting exploited and abused.

The issue stems from the platform’s basic DNA: Twitter was built around the idea of anyone being able to reply to anyone else, regardless of whether two users follow each other, or whether someone wants to hear a certain response. The issue, some argue, is that Twitter has dragged its feet because the open-ended aspect is actually in Twitter’s best business interest, since it encourages more engagement and use. (For a recent example of that argument pertaining specifically to cancel culture conversations, see here.)

Admittedly, it can be one of the more empowering feelings you can have on this big internet of ours, to be able to reply to someone on Twitter when you have an opinion on something, or just a question. Never mind that the reply may never come, or come from an army of trolls. And indeed, that open-ended aspect hasn’t always played out as a positive every time.

People, some of whom might be vulnerable or going through difficult situations, can be singled out for negative responses by other users, leading some of them to leave Twitter altogether, sometimes in very high-profile incidents. At a time when social media has become ever more influential and is being criticized by many asking whether it is fair enough, responsible enough and responsive enough in relation to the (incendiary and other) content that bounces around its playing fields, it has been a bad look for Twitter, and it’s been trying for years now to fix it. 

I’m guessing that some will decry the move to limit replies as a curtailing of free speech and free expression, that it might give a stronger voice to those who are actually using Twitter to disseminate abusive information themselves, by potentially limiting how people can respond.

There are a couple of counter arguments, though. One is that people can still see and retweet what someone says, one way of responding. A retweet with comment can still be pretty powerful: Sometimes these tweets can go viral and be seen even more than the original tweets themselves.

Xie noted that people will be able to see when replies have been limited, and that Twitter is working on ways of making that more obvious. That might well include pointing people to further information elsewhere. And the new timeline containing “Retweets with Comments” launched in May gets four times more visits on Tweets using these settings, Xie said.

There have, in fact, been a number of tweaks to reduce the amount of noise on the platform: Last year Twitter turned on the ability to hide replies, and over the years Twitter has improved the process for reporting harassment (including a number of updates and tests around harmful language), blocking people (although it seems this has some people contesting it) and muting people.

And it’s worth pointing out that Twitter has been making a lot of efforts to better detect and help users report original tweets that are abusive, discriminatory, contain fake news and the rest.

That might be the most important point here. This is a net positive for the platform, but still just one step in a long journey to work on improving the climate on Twitter overall.

TechCrunch

NEWS

What can ChatGPT do?

Published

on

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.

Continue Reading

NEWS

Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster

Published

on

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.”

Advertisement

Continue Reading Below

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.

Advertisement

Continue Reading Below

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

Continue Reading

NEWS

Survey says: Amazon, Google more trusted with your personal data than Apple is

Published

on

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.”

Continue Reading

Trending

en_USEnglish