Bots step up for 2016 US election news coverage

NYT, Washington Post, CNN, NBC, Yahoo News and Pro Publica are among news organisations using automated technology or messaging bots for US election coverage.

In this April 12, 2016 photo, Facebook chief Mark Zuckerberg unveils the option of building chat bots that let software have one-on-one natural language exchanges with people.

If you’re reading about the U.S. election, some of that news is likely to come to you from a “bot”.

Automated systems known as bots or >robot journalism have been around for years, but they are playing a bigger role in coverage this year amid technology advances and stretched media resources.

The New York Times ,

Washington Post , CNN, NBC, Yahoo News and the non-profit Pro Publica are among news organisations using automated technology or messaging bots for coverage in the runup to the November 8, 2016 vote or on election night.

News organisations are increasing use both of systems which employ algorithms to create text from data, and of automated “bots” delivering updates to smartphones.

The New York Times bot on Facebook Messenger launched earlier this year uses short dispatches from reporter Nick Confessore, and allows users to interact to get detailed bot-driven news updates or polls.

“This is a natural follow-on to what we have been doing in conversational journalism,” said

New York Times product director Andrew Phelps.

Those signing up for the bot receive periodic short messages such as, “Hey it’s Nick. The race took a swerve this weekend.”

Mr. Confessore said it was challenging to find the right formula for “a really short form of storytelling”, in a text message, but noted that the bot allowed readers to “drill down further” to get more details.

Meeting people on platforms Mr. Phelps said bot usage has been “in six figures” with an audience that is younger and more global than Times readers.

“It’s an effort to meet people on messaging platforms,” he said.

“We wanted to make it more personal, more interactive, to allow readers to feel more connected to the journalists themselves.”

While bots offer no immediate monetisation, they can help bring more people to the newspaper’s apps and website.

“This gets at the heart of relationship building,” Mr. Phelps said.

The Washington Post meanwhile has its own bot using a robot icon, and separately will be using artificial intelligence technology to update dispatches on election night.

The Post , owned by Amazon founder Jeff Bezos, developed the system called Heliograf that will help create hybrid human- and computer-generated stories.

Heliograf allows the Post “to create stories that are better than any automated system but more constantly updated than any human-written story could be,” said Jeremy Gilbert, director of strategic initiatives at the newspaper.

BuzzFeed experimented with its “BuzzBot” on Messenger during the 2016 political conventions as part of an effort to better connect with readers and participants at the events.

Amanda Hickman, who heads the BuzzFeed Open Lab, said bots offer “a one-to-one relationship which gives us the opportunity to let people fine-tune the product they want”.

Turning data into stories Algorithmic systems which turn data into news stories have been used for several years, mainly for routine corporate results and minor league sports, but are now playing a role in election coverage.

The non-profit news site ProPublica’s election data bot, created with Google News Lab, updates every 15 minutes with election forecasts, campaign finance reports, Google Trends and other data.

Another non-profit called the PollyVote Project delivers similar dispatches based on poll results and other data.

“Every time we get new data we create an automated news item,” said Andreas Graefe, a fellow at Columbia University’s Tow Centre for Digital Journalism who is leader of the project funded by the Tow Centre and Germany’s LMU Munich University.

“We can publish articles seconds after we receive the data, and we can do it in an unlimited amount.”

Mr. Graefe said several studies in Europe have shown that readers cannot tell the difference between a human- or computer-generated news article.

“When you ask people how readable a story is, they rate the human article better, but when you ask them how credible it is, the computer is better,” he said. “We don’t really know why.”

Damian Radcliffe, a University of Oregon professor who follows automated journalism, said the trends over the current election season highlight gains made with technology.

“Bots and automation are increasingly becoming a part of how journalism is produced and content is being consumed,” he said.

Mr. Radcliffe noted that automated journalism has moved beyond simple formulaic content to projects such as the Los Angeles Times “homicide report” covering every murder victim and its “quakebot” which delivers breaking news on earthquakes.

Mr. Radcliffe said many news organisations should look at these technologies even when resources are tight.

For election coverage, “they provide and opportunity to publish information more quickly than humans can,” he said.

While bots are not likely to replace reporters any time soon, “they can free people up or allow parts of newsroom to do other things that could be valuable,” Mr. Radcliffe said.