Chronic. The start of voice social networks is promising and allows users to engage in calm discussions. Is it too persistent?
EIn April 2020, a Shanghai startup company launched the Clubhouse app, a voice social network that can host discussions in real-time in themed virtual discussion rooms (also called meeting rooms). Topics about solutions to climate change, financial investments or convincing good rhetoric were discussed. This new tool was recently blocked by Beijing, has conquered more than 10 million people worldwide, and caused a commotion in France for weeks. It specifically expresses its voice to users, but it has not yet shown all the flaws that have appeared in historical social networks (such as Twitter or Facebook), where hatred and opinion polarization are rampant, and they are more cynical. The economic model of these views provides the impetus. platform. With Clubhouse, can we finally dream of social networks where debates are possible?
To join the club, you need to create an account after activating the personalized invitation sent by the member. It looks (intentionally?) looks like the original model of Gmail messaging developed by Google. Once the invitation is verified, the new user will be surprised: the social network does not contain any audio exchange history. Then, one of the risks inherent in traditional networks is eliminated here, because users often dishonestly take the statement out of context without attaching a time limit. This statement is reflected in the date of the post or the content of the comment. Another major asset: voice. Obviously, it can make users humane, even in an anonymous state, users can also take greater responsibility for their own words in the chat room.
I listened to ClubHouse, which is a censored app that has been very successful in China
From a technical point of view, audio tools such as Clubhouse have some advantages. Semantic audio analysis is much more difficult than the analysis of written text. For simple reasons, the freedom of speech is much higher. Accent, intonation, or intonation is added to parameters that already exist in the text, such as language, feeling (positive, negative or neutral) or vocabulary. It should be remembered that semantic analysis on the text network can particularly classify users in order to provide them with targeted advertisements. It can be understood that with the gradual enrichment of learning audio data sets and improved processing algorithms, automatic language processing tools will continue to improve over time. However, if the sound is always one step ahead, it is not surprising.
In a pragmatic way, sound can cause certain ambiguities, and these ambiguities appear in the tonal interpretation of the text content. Have you ever made a comment or response on the bluebird network, and that was just a second ridicule? In this particular situation, the voice can be more easily distinguished from second-order, ridicule, ignorance and even manipulation.
Aurélie Jean-Trump is banned by Twitter: Who should decide?
By playing the devil’s supporter, we can imagine that opinion bubbles observed on Twitter or Facebook will appear in rooms dedicated to controversial topics, possibly polarized by algorithmic suggestions. We also want to know what the economic model of the platform will be when investors demand income. In this case, the current investigation of French data processing and freedom hero Cnil may provide us with answers to the legal compliance of the platform related to the types of data currently collected and analyzed.
In France, Clubhouse’s downloads are close to 100,000, which resonates in the land of Molière, where there are verbal artistic and diplomatic linguistic differences. Hope the debate will help. ClubHouse will definitely make a sound, maybe it’s not useless. Shakespeare would be surprised.