How Twitter Uses Big Data And Artificial Intelligence
D0740959 李易錩 Louie
https://www.bernardmarr.com/default.asp?contentID=1373
https://www.bernardmarr.com/default.asp?contentID=1373
Twitter has the Twitter Audience Platform, referred to as the TAP network, which can be connected with various apps to achieve the effect of 1 billion hits worldwide. At the same time, it can also analyze user behavior from the app side and establish a database, even if it is not a Twitter user. It is also possible to share information with the help of TAP. This huge information network, like a treasure trove of marketers, has all kinds of possibilities.
Twitter is a data gold mine. Unlike other social platforms, almost every Twitter user's Weibo is completely open and accessible. If you want to try to obtain a large amount of data and then analyze it, this is quite helpful. At the same time, Twitter's data is also very specific. Its API interface allows you to perform complex queries, such as pulling every Weibo about a specific topic in the last 20 minutes, or pulling a user's non-retweet Weibo.
A simple application here is to analyze how the public views your company. You can collect the most recent 2,000 Weibo mentions of your company (or any other words) and then run sentiment analysis algorithms on them.
We can identify users who live in a specific location, so-called spatial data. Another application could be to mark the most mentioned areas of your company on the planet.
As you can see, Twitter data is a door to public opinion and how they analyze big data for a certain topic. These, combined with transparency and generous calls to the Twitter API interface, can produce extraordinary results.
Twitter is a social media platform where 328 million monthly devoted users microblog, share 280-character updates with their followers. It’s a hybrid of texting and blogging or social messaging, but at the same time, it’s been vital for news detailing, event promotion, advertising and business.
ReplyDeleteThe social media platform additionally conveyed AI to battle unseemly and racist content on its platform as experts in the UK and Germany increase measures and fines to anticipate abhor discourse, counterfeit news and unlawful content via social media. In the first half of 2017, Twitter brought down about 300,000 terrorist accounts which were distinguished by its AI tools; truth be told, 95% of suspended terrorism related accounts were recognized by algorithms instead of human users.
As you can see, artificial intelligence tools are likewise supporting little changes to Twitter that enhance the general user experience. For instance, its picture trimming tools are utilizing AI to consequently edit pictures in a substantially more engaging way and are monitoring live video sustains and arranging them dependent on the topic to enhance their accessibility and to enable the algorithms to recognize video users may be keen on finding in their feeds.
As Twitter’s team represents, tools fueled by artificial intelligence can be utilized to enhance or upgrade your products and services. The joint effort among people and artificial intelligence help to complement the best characteristics of each.
I think twitter has become a really important part of social media being the ninth largest social media with around 328 million users per month and it is really interesting because it is a kind of crossover between instant and personal blogging with an important role play in news reporting, event promotion, marketing and business.
ReplyDeleteOne of the ways Twitter uses artificial intelligence is to determine what tweet recommendations is going to suggest to each user timeline with the goal of highlighting the most relevant tweets of the day. Before twitter would just show the tweets in chronological order but today the algorithms scan and score thousands of tweets per second and rank them based on each user interests. Another tool twitter implemented was deploying AI to fight inappropriate and racist content on its platform as authorities in the UK and Germany increased measures and fines to prevent hate speech, fake news and illegal content on social media. I think it is really interesting to see and stop to think how all of this is possible thanks to collecting and analyzing data.
Twitter has a long way to go and when it refine its algorithms, it has to balance the speed as well as the quality of those in order to meet the requirements of the platform for real-time updates. In addition, algorithms are assessed on their resource demands and maintainability over time.
As a conclusion Twitter is a big door to public opinion and they care about not promoting bad attitudes like racism, bullying, hate or even miss information and they work very hard with the help of big data and artificial intelligence to make it possible.