NEWS

Twitter Announces Birdwatch – Volunteer Program Against Misinformation via @martinibuster

Published

2 years ago

January 26, 2021

Twitter announced a new anti-misinformation initiative. The plan is to use a transparent community-based approach to identifying misinformation. This is a pilot program restricted to the United States.

Twitter Birdwatch

Birdwatch is a system where contributors create “notes” about misinformation found on tweets. The notes are meant to provide context.

The notes will initially not be visible from the tweets but exist on a separate site located on a subdomain of Twitter (birdwatch.twitter.com) that currently redirects to twitter.com/i/birdwatch.

The goal is to eventually show the notes on the tweets that are judged to contain misinformation.

That way Twitter community members can be made aware of the low quality of a tweet.

Community Approach

What Twitter is proposing is a passive form of content moderation.

Many forums and social media sites (including Twitter) have a way for members to report a post when it is problematic in some way. Typical reasons for reporting a post can be spam, bullying, or misinformation.

This is a passive form of moderating content in a community, which is the form of moderation that Twitter is taking.

Community-driven moderation is a more proactive step because members, usually called moderators, can delete or edit a problematic post.

Birdwatch’s approach is limited to creating notes about a problematic post. Contributors will not be able to actually remove a bad post.

According to Twitter:

“Birdwatch allows people to identify information in Tweets they believe is misleading and write notes that provide informative context. We believe this approach has the potential to respond quickly when misleading information spreads, adding context that people trust and find valuable.

Eventually we aim to make notes visible directly on Tweets for the global Twitter audience, when there is consensus from a broad and diverse set of contributors.”

Continue Reading Below

Example of How Birdwatch Works

Birdwatch has three components:

Notes
Ratings
Birdwatch site

Birdwatch Notes

Birdwatch community moderators attach notes to tweets they judge to be problematic. The note process begins with clicking the three dot menu and selecting the Notes option.

Thereafter the note process involves answering multiple choice questions and adding feedback within a text area.

Continue Reading Below

Example of Twitter Birdwatch Notes

Here is an example of a helpful Birdwatch note:

This is an example of an unhelpful Birdwatch note:

Note Ranking

The next component of Birdwatch is community ranking of each other’s notes. This is a way for members to upvote or downvote rankings so that the best ranked notes can be selected as representative of an accurate note.

Continue Reading Below

This is a way for the community to self-moderate notes so that only the best and non-manipulative notes make it to the top.

Transparency of Twitter Birdwatch

The Birdwatch system is transparent. That means all the data is available to be downloaded and viewed by anyone from the Birdwatch Download page.

Try It and See Approach

Twitter acknowledges that the pilot program is a work in process and that issues such as malicious efforts to manipulate the program are things that will have to be dealt with as they turn up.

Twitter did not, however, offer a plan for dealing with community manipulation.

This is their statement:

“We know there are a number of challenges toward building a community-driven system like this — from making it resistant to manipulation attempts to ensuring it isn’t dominated by a simple majority or biased based on its distribution of contributors. We’ll be focused on these things throughout the pilot.”

Continue Reading Below

This seems like an ad-hoc approach to dealing with problems as they arise as opposed to anticipating them and having a plan in place to deal with them.

Community-driven Fight Against Misinformation

I have almost twenty years of experience moderating and running forums. In my experience, community administrators identify trustworthy members and make them moderators, allowing the volunteer members to help run the community themselves.

In a healthy community, moderators do not function like police who are enforcing rules. In a well-operated community moderators are more like servants that help the community function better.

What Twitter is proposing falls short of true moderation. It’s more of an attempt to provide trustworthy feedback on problematic posts that contain misinformation.

Citations

Read the official announcement:
Introducing Birdwatch, a Community-based Approach to Misinformation

Continue Reading Below

Searchenginejournal.com

NEWS

OpenAI Introduces ChatGPT Plus with Monthly Subscription of $20

Published

3 days ago

February 1, 2023

Entireweb News Bot

OpenAI, the leading artificial intelligence research laboratory, has launched a new product – ChatGPT Plus. The new product is an advanced version of its previous language model, ChatGPT, and is available for a monthly subscription of $20. The company aims to provide a more sophisticated and efficient conversational AI tool to its users through this new product.

ChatGPT Plus is a state-of-the-art language model that uses advanced deep learning algorithms to generate human-like responses to text inputs. The model has been trained on a massive corpus of text data, allowing it to generate coherent and contextually relevant responses. The model is designed to handle a wide range of conversational topics and can be integrated into various applications, such as chatbots, customer support systems, and virtual assistants.

One of the main advantages of ChatGPT Plus over its predecessor, ChatGPT, is its ability to generate responses in a more human-like manner. The model has been fine-tuned to incorporate more advanced language processing techniques, which enable it to better understand the context and tone of a conversation. This makes it possible for the model to generate more nuanced and appropriate responses, which can greatly improve the user experience.

In addition to its advanced language processing capabilities, ChatGPT Plus also offers improved performance in terms of response generation speed and efficiency. The model has been optimized to run on faster hardware and has been fine-tuned to generate responses more quickly. This makes it possible for the model to handle a larger volume of requests, making it an ideal solution for businesses with high traffic websites or customer support centers.

The monthly subscription fee of $20 for ChatGPT Plus makes it an affordable solution for businesses of all sizes. The company has designed the pricing model in such a way that it is accessible to businesses of all sizes, regardless of their budget. This makes it possible for small businesses to take advantage of advanced conversational AI technology, which can greatly improve their customer engagement and support.

OpenAI has also made it easy to integrate ChatGPT Plus into various applications. The company has provided a comprehensive API that allows developers to easily integrate the model into their applications. The API supports a wide range of programming languages, making it possible for developers to use the technology regardless of their preferred programming language. This makes it possible for businesses to quickly and easily incorporate conversational AI into their operations.

In conclusion, OpenAI’s launch of ChatGPT Plus is a significant development in the field of conversational AI. The new product offers advanced language processing capabilities and improved performance, making it an ideal solution for businesses of all sizes. The affordable pricing model and easy integration make it accessible to businesses of all sizes, and the advanced language processing capabilities make it possible for businesses to improve their customer engagement and support. OpenAI’s ChatGPT Plus is set to revolutionize the conversational AI industry and bring advanced technology within the reach of businesses of all sizes.

Visit OpenAI.com to read more and to get the latest news about ChatGPT.

NEWS

What can ChatGPT do?

Published

3 weeks ago

January 12, 2023

Entireweb News Bot

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.

NEWS

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

Published

1 year ago

December 28, 2021

Entireweb News Bot

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.

Our December 2021 product reviews update is now rolling out for English-language pages. It will take about three weeks to complete. We have also extended our advice for product review creators: https://t.co/N4rjJWoaqE

— Google Search Central (@googlesearchc) December 1, 2021

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.”

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

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.

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.