Artificial Intelligence in Journalism: Where is Media Headed?

In today's world which is ruled by digitisation, technology is powering journalism. Artificial intelligence involved jobs accounts to around 10-12% of the total functionalities in the industry.

Machine-Written Articles: AI can help human reporters in more complex work, such as long-form articles, in-depth analyses and investigative journalism. AI-written articles are currently limited to simple and formulaic topics including stock market results, sports game scores, etc.

Transcribing Audio and Video Interviews: AI can save reporters valuable time by transcribing audio and video interviews. It converts audio data into text so that journalists can focus on deriving insights rather than transcribing audio or video interviews.

Flagging Alerts: AI can examine large databases and send journalists alerts as soon as a trend or anomaly emerges from big data. It can provide content producers and publisher's tools to identify fake news and lessen their impact on their readership.

Powering Journalistic Processes: AI systems can improve journalistic processes and workflows. It can help organizations streamline their distributed processes for gleaning information, contacting sources and backend operations like dealing with the advertisers.

Controls bias: Bias is a global issue and news media have no escape from it. However, AI assists in reducing the subjective interpretation of the data of the human as its machine learning algorithms are trained to consider accuracy.

Robot as news reporters: Despite invading manufacturing, healthcare and marketing industry, robots are now in newsrooms as well. China's state-run Xinhua News Agency made a breakthrough by deploying a robot as 'English AI Anchor.'