The Struggle to Define Notability and Credibility in the Digital Age

The Struggle to Define Notability and Credibility in the Digital Age

In the vast realm of internet content, two distinct issues have come to the forefront: the struggle to define notability on platforms like Wikipedia and the battle for search dominance fueled by chatbot-enhanced tools. These issues may seem unrelated at first glance, but upon closer examination, they reveal a common thread – the need for clear criteria and reliable sources in the digital age.

Wikipedia, the largest online encyclopedia, has long grappled with the challenge of determining what makes a person or topic "notable" enough to have a dedicated page. As a Wikipedia contributor, I understand the controversy surrounding this issue. Notability, as its own notion, is inherently subjective. What one person finds noteworthy, another may dismiss as trivial. This subjectivity becomes particularly evident when considering the border of a "reliable" secondary source. The credibility of publications can vary depending on the country, further complicating the matter.

To tackle the notability dilemma, Wikipedia has established detailed guidelines that aim to provide clarity. These guidelines emphasize the importance of reputable, secondary media coverage for biographical subjects. The more coverage a person receives from respected sources, the higher the likelihood of their biography being approved. However, this approach can still be problematic. For example, if a creator with a significant following on a platform like Twitch – the third-most followed creator on an app with approximately 700 million global users – is not considered notable enough for Wikipedia, then who is? The criteria for notability can be vague, leaving it up to the subjective decisions of individual reviewers.

One crucial aspect of notability on Wikipedia is the reliance on secondary sources. Mainstream publications like The Wall Street Journal often overlook the happenings of Twitch and creator circles, which are crucial in understanding the impact of content creators. As a result, the publications reporting on these creators' achievements may not be deemed reputable enough by Wikipedia. In the eyes of Wikipedia, for an achievement to be noteworthy, it must be reported to a publication like The New York Times.

However, content creators themselves establish their own notability through their impactful content. In fact, 92% of consumers trust an influencer's product recommendation more than a celebrity endorsement. This shift in influence raises questions about how creators fit into the future of documentation and history. Currently, the gatekeeping of information sharing on Wikipedia is predominantly carried out by a small group of editors, of which 90% are male. This lack of diversity in decision-making power further emphasizes the need to reevaluate the criteria for notability.

At its core, Wikipedia operates based on what reliable sources cover. But the influence between Wikipedia and the media is a two-way street. Just as Wikipedia impacts the media, the media also influences Wikipedia. This symbiotic relationship becomes increasingly significant as the Creator Revolution continues to surge forward. The struggle to define a creator's notability, especially on a large, free source of knowledge like Wikipedia, will only continue to grow.

While Wikipedia grapples with notability, the battle for search dominance is unfolding in the shadows. Google and Microsoft have been exploring the integration of large language models, similar to ChatGPT, into their search engines. However, under the radar, a wave of startups has been experimenting with chatbot-enhanced search tools as well. Companies like Perplexity, Andi, and Metaphor are combining chatbot apps with upgrades like image search, social features, and real-time information retrieval.

The accessibility of off-the-shelf software has made it easier than ever to build a search engine and connect it to a large language model. Startups like You.com, founded by former Salesforce AI scientist Richard Socher, are leveraging this technology to introduce multimodal search capabilities. With the ability to respond to queries using images or embedded widgets, these chatbots enhance the search experience and allow users to share their exchanges, enabling others to delve deeper into existing threads.

Another company, Perplexity, takes a different approach by using large language models to summarize the best search results. By plugging these models into existing search engines, Perplexity aims to improve the relevancy and accuracy of search queries. While this new era of search may not completely eliminate traditional lists of links, it promises to enhance the user experience and provide more tailored results.

However, the rise of large language models in search raises concerns about the potential for misinformation. The ability of these models to generate false information is not surprising, but what is noteworthy is how they can influence people's critical reasoning abilities. To address this issue, initiatives like Search Coach have emerged. Billed as "a search engine with training wheels," Search Coach helps users, particularly students and educators, learn how to write effective search queries and identify reliable resources. It acknowledges the importance of convenience in consumer tech while also raising fundamental questions about the state of the internet.

In conclusion, the struggle to define notability and credibility in the digital age is a complex and multifaceted issue. Platforms like Wikipedia grapple with the subjectivity of notability and the reliance on secondary sources, while the battle for search dominance is fueled by chatbot-enhanced tools and large language models. To navigate these challenges, three actionable pieces of advice emerge:

1. Foster diversity and inclusivity in decision-making processes: To ensure a fair and comprehensive evaluation of notability, it is essential to include diverse voices in the review process. This will help mitigate the inherent subjectivity and biases that may arise.

2. Embrace a hybrid approach to search: While chatbot-enhanced search tools offer exciting possibilities, it is crucial to strike a balance between convenience and critical thinking. Integrating large language models with existing search engines can provide tailored results while still allowing users to explore diverse sources.

3. Promote digital literacy and research skills: As the digital landscape evolves, it becomes increasingly important to equip individuals with the skills to navigate and evaluate information effectively. Initiatives like Search Coach can play a vital role in educating users on how to write effective search queries and identify reliable resources.

By addressing these challenges head-on and implementing these actionable steps, we can strive for a digital ecosystem that values notability, credibility, and the responsible dissemination of information. Only then can we ensure that creators and their contributions are accurately represented, and users can access reliable knowledge in the digital age.