Commentary

Journalism's Conversion: Reporters Will Need AI Technical Skills Plus Traditional Values

The most valuable journalists will soon be “hybrids” — those who are AI-literate while adhering to traditional newsroom values, judging by The Future Newsroom, a study from Trint.  

Reporters will need these technical skills within the next one to three years:

  • Digital verification & fact-checking techniques — 87%
  • AI prompt engineering & optimization — 70% 
  • Data analysis & interpretation — 61%
  • Audio/video production & editing — 57%
  • Understanding of algorithmic content distribution — 57% 
  • Audience analytics & engagement metrics — 43% 
  • Social media strategy & platform management — 43% 
  • SEO & contact optimization — 33%
  • Digital security & privacy protection — 35%
  • Basic coding/programmatic skills — 30%

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This is a far cry from 50 years ago, say, when a reporter had to be able to take notes, write on a typewriter and use the telephone to call in stories (to mention only the technical requirements). 

However, there are major barriers to effective AI training in newsrooms: 

  • Lack of time/competing priorities — 77%
  • Lack of qualified trainers/training resources — 41%
  • Legal/ethical concerns about AI use — 36%
  • Staff resistance to learning technologies — 27%
  • Unclear about what skills to prioritize — 27% 
  • Limited budget for training programs — 23%
  • Rapid pace of AI technology change — 23%
  • Technical infrastructure limitations — 18%
  • Senior leadership buy-in — 14%

As for the editorial side of things, the respondents say these skills will become even more important with AI: 

  • Ethical decision-making — 83%
  • Source verification & fact-checking — 83%
  • Critical thinking & analysis — 74%
  • Editorial judgment & news sense — 61%
  • Investigative research techniques — 61% 
  • Relationship building & community engagement — 61%
  • Creative & original thinking — 57%
  • Storytelling & narrative construction — 52%
  • Interview & interpersonal skills — 48%
  • Subject matter expertise/beat knowledge — 26%

Despite all of the above, generative AI has not greatly affected skills requirements in newsrooms. Respondents say:

  • Moderately, some adaption needed — 41%
  • Slightly, minimal impact thus far — 32%
  • No impact yet — 13%
  • Too early to tell — 9%
  • Very significantly, major changes required — 5%

Even with that slow start, 52% of newsrooms say AI literacy will be essential within one to three years. Another 26% feel it will be very important and 9% say moderately important. And 9% are not sure.

How are newsrooms applying generative AI? Only 18% are extensively using it, while 32% have had limited experience and 41% have used AI moderately. Transcription and translation are the most used applications, with other applications as follows:

  • Transcription — 86%
  • Translation — 73%
  • Content creation assistance (writing, editing) — 50%
  • Research & fact-checking support — 50%
  • Headline generation — 45%
  • Data analysis & visualization — 41%
  • Administrative task automation — 32%
  • Social media optimization — 32%
  • Photo/video editing & enhancement — 27%
  • Audience engagement & personalization — 23%

This report analyzes quantitative survey data in aggregate, and also drew on the perspectives of 23 newsroom professionals and leading academics.

 

 

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