Is Artificial Intelligence Ready for Social Media?

By Andrei Klubnikin

Is Artificial Intelligence Ready for Social Media?

65% of US population uses social media. Worldwide, the number of SM users has topped 2 billion. That’s twice as much as the number of people who own a car. Every minute social media users generate 350 thousand Twitter updates and 4 million likes and shares on Facebook. In light of recent events – that is, the growing threat of terrorism and high-profile cyberattacks – security agencies, social media websites and business owners need a powerful tool to monitor and analyze user-generated content. And that’s where social media AI comes in handy.

What is Artificial Intelligence & how is it used in social media?

The “Artificial Intelligence” term may refer to both the intelligence displayed by computers and applications and the science of making intelligent machines and software. AI’s primary task is to understand certain aspects of the real world and use the knowledge for completing various tasks previously performed by humans.

Every time Facebook suggests tagging a friend in your recent photo, you’re dealing with AI. Your favorite face swap apps like Snapchat and MSQRD are powered by neural networks. Also, there are Facebook, Telegram and Kik virtual assistants (aka chatbots) which enable users to interact with a brand they like from inside a messaging app and deliver relevant content to subscribers.

Is Artificial Intelligence Ready for Social Media?

What are the most common AI use cases in social media app development?

  • With AI, social media can identify bots and fake accounts. 80 years ago radio helped Nazis seize Europe; today, social networks have become a powerful propaganda channel. There are 81 million fake accounts on Facebook. Twitter bots now spread information regarding presidential elections and can in fact influence their outcome. During the 2016 US campaign, for example, over 30% of pro-Trump content on social media was coming from bots. Ways out? Machine learning algorithms can identify the features common to fake accounts and spammers, filter identical or contextually similar tweets and mark them as spammy or fake. Since AI programs learn over time, the accumulated knowledge can help social media owners and law enforcement agencies timely block malicious content in the future;
  • Artificial Intelligence handles user requests and drives customer engagement. According to Business Insider, top four messaging applications (including WhatsApp and Facebook messenger) now have more users that all major social networks. 63.9% of consumers who follow brands on social media believe companies should be available through messaging apps, too. As a result, businesses turn to chatbots – the lightweight AI apps that process questions asked in natural language, navigate customers through digital catalogs and websites and distribute promotional content. Although most messenger bots are triggered by keywords and cannot engage in long conversations, they can easily process trivial customer queries (“Do you have the item in stock?” or “Do you accept PayPal payments?”) and connect users to a customer support specialist when confused. Chatbot promo messages have a 65% higher open rate compared to emails and push notifications. 30% of US customers would like Go to the full article.

    Source:: Business 2 Community

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