How AI Is Helping Artifact Combat Clickbait Articles
In today’s digital era, the internet is awash with misinformation, clickbait articles, and fake news stories. As a result, finding reliable sources of information can be a daunting task. However, Artifact, an AI-based news app, is working to change that. Developed by Instagram co-founders Kevin Systrom and Mike Krieger, Artifact has introduced a series of features aimed at countering clickbait articles. In this article, we’ll take a closer look at how the app is achieving this and the implications it has for the future of digital media.
What Is Artifact?
Artifact is a news app that uses AI algorithms to curate content from different sources such as news outlets, blogs, and social media. The app’s algorithms analyze articles, categorize them according to their topics, and present users with a personalized feed of stories that match their interests.
One of the app’s key features is its ability to detect clickbait articles and rewrite their headlines using AI algorithms. When users mark a title as clickbait, the app uses a GPT-4 model to rewrite the headline. The startup is also working on technology to detect clickbait articles without relying on user reporting.
How Does Artifact Detect Clickbait Articles?
The app uses a combination of machine learning and human input to identify clickbait articles. Initially, the app relies on human moderators to vet articles and flag them as clickbait after multiple users report them. When an article is flagged, the app uses a GPT-4 model to rewrite the headline, which is then presented to all users.
The app is also working on a technology that can detect clickbait articles automatically without relying on manual reporting. The technology is still in the development phase, but once it’s ready, the app will be able to identify and rewrite headlines for all users.
Why Is Artifact Focusing On Clickbait Articles?
Clickbait articles are articles that use sensational headlines to attract readers but fail to deliver on the content promised. Clickbait has become a major problem in digital media, prompting tech companies and media outlets to take action to combat its spread.
Artifact is seeking to address this issue by using AI algorithms to identify clickbait articles and rewrite their headlines. By doing so, the app is attempting to create a more reliable source of news and information.
How Is Artifact Handling Editorial Responsibility?
By detecting and rewriting clickbait articles, Artifact is taking on a significant amount of editorial responsibility. The app is making editorial decisions by selecting the algorithm’s objective function, the data input, included and excluded data. Artifact is responsible for weighing different goals to cater to the user’s preferences effectively.
However, Systrom admits that building the algorithm involves a lot of editorial work. Systrom explains that the algorithm’s design is entirely editorial because the selection of data and goals determine the results users receive on their feed.
Additionally, as the app continues to rely on human input to detect clickbait articles, the possibility of human error and bias creeps in. The use of AI and machine learning in creating such algorithms could be controversial, such as the black-box problem where we cannot explain why one result was selected and not the other, enabling a great amount of discretion to the designer.
The Implications Of Artifact’s Approach
Artifact’s approach to identifying and rewriting clickbait articles presents several implications for digital media. First, the app is challenging the current state of news and media outlets. While the current media landscape often caters to sensational headlines, Artifact is promoting reliable content for readers.
Second, the app’s use of AI algorithms to modify headlines demonstrates how technology can be used to create more reliable, factual news sources. Suppose Artifact’s use of AI progresses into detecting the quality of articles independently, thus identifying not only clickbait articles but sensationalist articles, misleading articles, and misinformation. In that case, this approach may change the way digital media outlets curate information, creating more factual content across numerous sources.
Finally, the implications of Artifact’s approach extend to other areas beyond digital media. It highlights the potential that AI has to impact content curation, including translation, content creation, and even creative writing.
Conclusion
Artifact’s approach to combating clickbait articles represents a significant step forward in the fight against fake news and misinformation online. The app’s use of AI algorithms to detect and rewrite headlines demonstrates the potential for technology to create more reliable sourcing of factual content. However, as the app continues to rely on human input in identifying clickbait articles, the possibility of including personal bias and human error also increases. Nevertheless, it is intriguing to see technology gradually transforming the way we experience media and revolutionizing traditional ways of content curation.
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Last month, the news app Artifact introduced an option to users to mark an article as clickbait. Now the app founded by Kevin Systrom and Mike Krieger has released a new feature to let AI rewrite a headline if it comes across such an article.
The app’s creators said that if a user marks a title as clickbait, the app resorts to a GPT-4 model to rewrite the title.
At the time of the clickbait flagging feature’s launch, Artifact said it has a manual process for vetting articles and flagging them as clickbait after multiple users report them.
With the new update, if the Arificat team flags an article as clickbait, AI will rewrite the title for all users. People will see a star icon next to the title to indicate that AI has rewritten it.
Image Credits: Artifact
Additionally, the startup is already working on technology to detect clickbait articles without relying on manual reporting. He said that once that system is in place, the app will automatically detect and rewrite headlines.
With these features, the app takes on a lot of editorial responsibility, ranging from correctly identifying clickbait articles and using AI to rewrite headlines that aren’t misleading. But the company isn’t shy about taking those steps.
In an interview with TechCrunch in MarchSystrom admitted that running a news app involves making editorial decisions in some way.
“Actually, building the algorithm is hugely editorial. “Because what you choose to train your algorithm on (the objective function, the data you input, the data you include, the data you don’t include) is up to editorial judgment. The way you weigh different goals,” he said.
Artifact news app now uses AI to rewrite headline of a clickbait article
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