Facebook live is a new addition to the social networks. It allows users to record videos and broadcast live to friends and followers. Although the live broadcast is not a brand-new thing, it receives huge success in Facebook. The database of Facebook is enormous and outstanding, which brings valuable big data insights.
Facebook, Big Data Algorithm
There are over 2.27 billion monthly active Facebook users for Q3 2018. (Source: Facebook 10/30/18). Facebook is the world’s most popular social media with more than two billion monthly active users worldwide. Facebook stores large amounts of data. It’s predicted that there will be more than 170 million Facebook users in the United States by 2018. Facebook is too big to ignore.
There are thousands of posts that might be displayed in the user’s News Feed. The algorithm analysis these posts and arranges their order according to the preference and relevance of users. The Facebook algorithm is constantly improving, in order to provide a good experience for users. Facebook prioritizes posts from family and friends over public because they treasure the connection of person to person.
Facebook, Big Data Insights
Every activities and engagement such as clicking, browsing, like, sharing, follow and etc. They are being collected and monitored by Facebook. Those data became valuable assets of the big database. The big data analysis produces insights. Insights can accurately foresee the user’s interests. Therefore, we can always see the most related post up front. Facebook live apply the same mechanism. In the News Feed, those videos we interest the most will be prioritized.
The emergence of Facebook Live has made the “personal TV station” no longer an obstacle. Everyone with a Smartphone can manage their personal TV channel. Facebook tracks its users by cookies. If a user is logged into Facebook, Facebook can track every site they visited. Facebook grasp the technology of facial recognition which presents its skills in photo tagging and image management.
TVmost and Facebook
TVmost anniversary award broadcasted live on the free TV network ViuTV, which announced the cooperation between online media and traditional media in content and distribution. The TV online station owns over 7 hundred thousand followers on Facebook. It is a big asset to TVmost. All it has to do is a one-time authorization from fans. It allows TVmost to access fans’ Facebook profile and personal information such as gender, age, location, and ETC. The insights it brings assist TVmost to understand the interests and the characteristics of fans. It benefits TVmost to strengthen their digital marketing services.
The success of Facebook live and TVmost emphasizes the importance of Big Data insights. It helps to improve the customer experience and customer loyalty. Adopting of Big Data solutions helps analyze customer interests and consumption behaviors across multiple channels to determine when, where and how customers are most likely to buy.
Journalism is the activities of gathering, evaluating, creating, and news and information delivery. It requires verification, accuracy, and creativity. The recent development of communication and mobile technology made the process more efficient and influential. The evolution does not stop there. The emergence of Big Data may once again alter the game rules of journalism.
Big Data and Article Screening System
Lifehack is a leading online media. It produces articles daily, which about making things easier and better in every aspect. It provides practical and adaptable knowledge dedicated to improving Health, happiness, productivity, relationships.
The monthly page views of Lifehack in 2017 exceeded 20 million. It has over 1 million followers on Facebook. However, the company has only a dozen people operating, most of which are IT programmers. Leon is the founder of Lifehack. He chose English as the language of the online media at the beginning, therefore the readers extended to English speakers worldwide.
example of Lifehack’s article
Leon used Big Data to further expand Lifehack. Leon had a programmer created an “Article Screening Automatic System.’’ It monitored the vastly updated articles on more than 200 of the world’s most popular online media. It estimated the popularity of each article, by calculating the number of Like and Share in social media. The system highlighted the articles automatically once it qualified.
The editor Anna was responsible to interpret the results. She grasped and studied the themes, structure, and style of those popular articles. She anglicized them and integrated a manuscript, then sent out to their writers. The manuscript was more like a guiding book, which includes the suggestions on writing directions, styles, and keywords. It adopted the Big Data concept gathering mass data from the internet. It spotted out successful popular articles automatically, which reduced labor force. We called it Data Driven Journalism.
SEO Results Supervisor: Robot
Lifehack further developed a ‘Robot’ system for internal supervising and analysis purposes. Robot monitored the SEO ’‘search engine optimization’’ results and scored them based on their popularity. The good or bad standard toward an article was subjective. The Robot made it an evaluable and objective scoring system. Lifehack exploited the A/B choice to determine the best writing scheme. Lifehack published A and B version under the same topic, then Robot compared the SEO results. Journalism shift from editor-driven to data-driven. The change is controversial. Some argue that themes and style are being influenced by Big Data, which endanger creativity and diversity. Let’s see some headlines we can find in Lifehack.
‘’ 7 Simple Hacks To Make Your Days In The Kitchen Easier、10 Effective Leg Exercises You Can Do On The Couch、7 Easy Body Language Tricks to Help You Get Over Anger and Get You Back to Feeling Great and etc.’’
Above headline’s style are quite similar. Styles become singular and dull.
The consequence of data-driven journalism is that labor is being replaced by AI. Bad news for employees but absolutely good news to entrepreneurs. An automatically accurate system brings insights on customer’s interest. It allows understanding the demands of your market while improving your work to satisfy the needs of customers.