Author Archives: Erica Anderson

How journalists can tell compelling stories using VR

Over the past few years, we’ve seen the rise of a new medium for storytelling in journalism: virtual reality.  From the printing press to radio, from television to the internet, and now VR, technological innovation has changed how journalists gather, report and deliver the news. VR is already making an impression on journalism by immersing an audience in a story, offering unlikely perspectives and creating connections to emotional moments.

At the Google News Lab, we help journalists develop a better understanding of how to tell stories in VR. So, for the past six months, we've conducted a research study that offers insight into what makes VR a distinct storytelling medium, why it’s alluring to people, and what that means for storytellers. We also partnered on this study with a team at Google called ZOO, a creative think tank for brands and agencies.

The study used a method of qualitative research called ethnography, which uses in-field observations and interviews to understand a person’s relationship with an experience. We conducted 36 interviews with a diverse range of participants, observing them as they interacted with their favorite VR pieces and asking them to reflect on how the experience made them feel.

Our study found that VR was distinct from other storytelling mediums in a few key ways. First, it conveys the sense that the viewer is “living the story” as opposed to passively consuming it (“storyliving” rather than storytelling). VR also allows people to dramatically expand their perspective on a story and can leave them with strong emotional experiences, but sometimes that comes at the expense of conveying information.

Participants found VR alluring for a few reasons: viewers can participate rather than simply be immersed in an experience; they can seek out a specific emotion, like happiness, or sadness or fear; and they can  embody someone or something else—a bird, a tree, or a person living on the other side of the world.

Storyliving: a study of how audiences experience VR and what that means for journalists

Storyliving: a study of how audiences experience VR and what that means for journalists

So, what do our findings mean for journalists who want to tell compelling stories in VR? Here are three factors journalists should consider, plus some tips for how you can incorporate VR into your reporting:

  1. VR is effective when it’s focused on conveying an emotional experience
    Given that VR is a medium that privileges storyliving over storytelling, journalists should approach how they structure and frame a story differently than they would with more traditional mediums. 

    For journalists, focus on conveying an emotional impression, rather than telling a story that follows a traditional narrative arch with a beginning, middle, and an end. Consider the emotional state you want the viewer to experience and find the moment within your story that can best deliver that. A viewer will often seek out more information about the subject they have just been immersed in, so it makes sense to package that detail or backstory alongside the VR experience. 

  2. Play with perspective in new ways and create opportunities for participation
    Conveying perspective—or encouraging people to see a story through someone else’s eyes—is critical to good journalism. VR has the unique ability to produce a sensation of embodiment which can be a powerful tool to expand perspective. 

    So journalists should let viewers  choose a perspective. Can you let a viewer experiences a story about a political crisis from a particular side of the conflict? Play the baseball game from the perspective of two teams? See outer space from the inside of an astronaut’s helmet?

  3. Consider the heightened vulnerability of subjects when telling a story
    VR can leave viewers in a state of vulnerability, both physically and emotionally. A person can feel surprised or shocked when entering the virtual experience or re-integrating into reality at the end of an experience.

    That means journalists should consider the ethics (both pitfalls and advantages) of making your viewer feel vulnerable when constructing a story about an emotionally sensitive topic. Journalists take this into account when constructing stories in a traditional medium, but the vulnerability is more pronounced in VR. 

    You should also signal to a viewer when they’re entering a story and when they’re exiting from it (similar to how movies begin with a title and end with the credits). This is especially important at the end of a VR story since viewers typically piece together their understanding of the story after it’s over. 

VR creates an opportunity for journalists to tell stories in a new way. Insights from our study can help journalists use VR to expand perspectives, create strong emotional connections to a story, and spread knowledge that matters. Go ahead, immerse yourself.

How journalists can tell compelling stories using VR

Over the past few years, we’ve seen the rise of a new medium for storytelling in journalism: virtual reality.  From the printing press to radio, from television to the internet, and now VR, technological innovation has changed how journalists gather, report and deliver the news. VR is already making an impression on journalism by immersing an audience in a story, offering unlikely perspectives and creating connections to emotional moments.

At the Google News Lab, we help journalists develop a better understanding of how to tell stories in VR. So, for the past six months, we've conducted a research study that offers insight into what makes VR a distinct storytelling medium, why it’s alluring to people, and what that means for storytellers. We also partnered on this study with a team at Google called ZOO, a creative think tank for brands and agencies.

The study used a method of qualitative research called ethnography, which uses in-field observations and interviews to understand a person’s relationship with an experience. We conducted 36 interviews with a diverse range of participants, observing them as they interacted with their favorite VR pieces and asking them to reflect on how the experience made them feel.

Our study found that VR was distinct from other storytelling mediums in a few key ways. First, it conveys the sense that the viewer is “living the story” as opposed to passively consuming it (“storyliving” rather than storytelling). VR also allows people to dramatically expand their perspective on a story and can leave them with strong emotional experiences, but sometimes that comes at the expense of conveying information.

Participants found VR alluring for a few reasons: viewers can participate rather than simply be immersed in an experience; they can seek out a specific emotion, like happiness, or sadness or fear; and they can  embody someone or something else—a bird, a tree, or a person living on the other side of the world.

Storyliving: a study of how audiences experience VR and what that means for journalists

Storyliving: a study of how audiences experience VR and what that means for journalists

So, what do our findings mean for journalists who want to tell compelling stories in VR? Here are three factors journalists should consider, plus some tips for how you can incorporate VR into your reporting:

  1. VR is effective when it’s focused on conveying an emotional experience
    Given that VR is a medium that privileges storyliving over storytelling, journalists should approach how they structure and frame a story differently than they would with more traditional mediums. 

    For journalists, focus on conveying an emotional impression, rather than telling a story that follows a traditional narrative arch with a beginning, middle, and an end. Consider the emotional state you want the viewer to experience and find the moment within your story that can best deliver that. A viewer will often seek out more information about the subject they have just been immersed in, so it makes sense to package that detail or backstory alongside the VR experience. 

  2. Play with perspective in new ways and create opportunities for participation
    Conveying perspective—or encouraging people to see a story through someone else’s eyes—is critical to good journalism. VR has the unique ability to produce a sensation of embodiment which can be a powerful tool to expand perspective. 

    So journalists should let viewers  choose a perspective. Can you let a viewer experiences a story about a political crisis from a particular side of the conflict? Play the baseball game from the perspective of two teams? See outer space from the inside of an astronaut’s helmet?

  3. Consider the heightened vulnerability of subjects when telling a story
    VR can leave viewers in a state of vulnerability, both physically and emotionally. A person can feel surprised or shocked when entering the virtual experience or re-integrating into reality at the end of an experience.

    That means journalists should consider the ethics (both pitfalls and advantages) of making your viewer feel vulnerable when constructing a story about an emotionally sensitive topic. Journalists take this into account when constructing stories in a traditional medium, but the vulnerability is more pronounced in VR. 

    You should also signal to a viewer when they’re entering a story and when they’re exiting from it (similar to how movies begin with a title and end with the credits). This is especially important at the end of a VR story since viewers typically piece together their understanding of the story after it’s over. 

VR creates an opportunity for journalists to tell stories in a new way. Insights from our study can help journalists use VR to expand perspectives, create strong emotional connections to a story, and spread knowledge that matters. Go ahead, immerse yourself.

AI in the newsroom: What’s happening and what’s next?

Bringing people together to discuss the forces shaping journalism is central to our mission at the Google News Lab. Earlier this month, we invited Nick Rockwell, the Chief Technology Officer from the New York Times, and Luca D’Aniello, the Chief Technology Officer at the Associated Press, to Google’s New York office to talk about the future of artificial intelligence in journalism and the challenges and opportunities it presents for newsrooms.

The event opened with an overview of the AP's recent report, "The Future of Augmented Journalism: a guide for newsrooms in the age of smart machines,” which was based on interviews with dozens of journalists, technologists, and academics (and compiled with the help of a robot, of course). As early adopters of this technology, the AP highlighted a number of their earlier experiments:

Boxing match image captured by one of AP’s AI-powered cameras
This image of a boxing match was captured by one of AP’s AI-powered cameras.
  • Deploying more than a dozen AI-powered robotic cameras at the 2016 Summer Olympics to capture angles not easily available to journalists
  • Using Google’s Cloud Vision API to classify and tag photos automatically throughout the report
  • Increasing news coverage of quarterly earnings reports from 400 to 4,000 companies using automation

The report also addressed key concerns, including risks associated with unchecked algorithms, potential for workflow disruption, and the growing gap in skill sets.

Here are three themes that emerged from the conversation with Rockwell and D’Aniello:

1. AI will increase a news organization's ability to focus on content creation

D’Aniello noted that journalists, often “pressed for resources,” are forced to “spend most of their time creating multiple versions of the same content for different outlets.” AI can reduce monotonous tasks like these and allow journalists to to spend more of their time on their core expertise: reporting.

For Rockwell, AI could also be leveraged to power new reporting, helping journalists analyze massive data sets to surface untold stories. Rockwell noted that “the big stories will be found in data, and whether we can find them or not will depend on our sophistication using large datasets.”

2. AI can help improve the quality of dialogue online and help organizations better understand their readers' needs.

Given the increasing abuse and harassment found in online conversations, many publishers are backing away from allowing comments on articles. For the Times, the Perspective API tool developed by Jigsaw (part of Google’s parent company Alphabet), is creating an opportunity to encourage constructive discussions online by using machine learning to increase the efficiency of comment moderation. Previously, the Times could only moderate comments on 10 percent of articles. The Times aspires to use Perspective to enable commenting on all its articles.

The Times is also thinking about using AI to increase the relevance of what they deliver to readers. As Rockwell notes, “Our readers have always looked to us to filter the world, but to do that only through editorial curation is a one-size-fits-all approach. There is a lot we can do to better serve them.”

3. Applying journalistic standards is essential to AI’s successful implementation in newsrooms

Both panelists agreed that the editorial standards that go into creating quality journalism should be applied to AI-fueled journalism. As Francesco Marconi, the author of the AP report, remarked, “Humans make mistakes. Algorithms make mistakes. All the editorial standards should be applied to the technology.”

Here are a few approaches we’ve seen for how those standards can be applied to the technology:

  • Pairing up journalists with the tech. At the AP, business journalists trained software to understand how to write an earnings report.
  • Serving as editorial gatekeepers. News editors should play a role in synthesizing and framing the information AI produces.
  • Ensuring more inclusive reporting. In 2016, Google.org, USC and the Geena Davis Foundation used machine learning to create a tool that collects data on gender portrayals in media.

What’s ahead

What will it take for AI to be a positive force in journalism? The conversation showed that while the path wasn’t certain, getting to the right answers would require close collaboration between the technology industry, news organizations, and journalists.

“There is a lot of work to do, but it’s about the mindset,” D’Aniello said. “Technology was seen as a disruptor of the newsroom, and it was difficult to introduce things. I don’t think this is the case anymore. The urgency and the need is perceived at the editorial level.”

We look forward to continuing to host more conversations on important topics like this one. Learn more about the Google News Lab on our website.

Header image of robotic camera courtesy of Associated Press.

AI in the newsroom: What’s happening and what’s next?

Bringing people together to discuss the forces shaping journalism is central to our mission at the Google News Lab. Earlier this month, we invited Nick Rockwell, the Chief Technology Officer from the New York Times, and Luca D’Aniello, the Chief Technology Officer at the Associated Press, to Google’s New York office to talk about the future of artificial intelligence in journalism and the challenges and opportunities it presents for newsrooms.

The event opened with an overview of the AP's recent report, "The Future of Augmented Journalism: a guide for newsrooms in the age of smart machines,” which was based on interviews with dozens of journalists, technologists, and academics (and compiled with the help of a robot, of course). As early adopters of this technology, the AP highlighted a number of their earlier experiments:

Boxing match image captured by one of AP’s AI-powered cameras
This image of a boxing match was captured by one of AP’s AI-powered cameras.
  • Deploying more than a dozen AI-powered robotic cameras at the 2016 Summer Olympics to capture angles not easily available to journalists
  • Using Google’s Cloud Vision API to classify and tag photos automatically throughout the report
  • Increasing news coverage of quarterly earnings reports from 400 to 4,000 companies using automation

The report also addressed key concerns, including risks associated with unchecked algorithms, potential for workflow disruption, and the growing gap in skill sets.

Here are three themes that emerged from the conversation with Rockwell and D’Aniello:

1. AI will increase a news organization's ability to focus on content creation

D’Aniello noted that journalists, often “pressed for resources,” are forced to “spend most of their time creating multiple versions of the same content for different outlets.” AI can reduce monotonous tasks like these and allow journalists to to spend more of their time on their core expertise: reporting.

For Rockwell, AI could also be leveraged to power new reporting, helping journalists analyze massive data sets to surface untold stories. Rockwell noted that “the big stories will be found in data, and whether we can find them or not will depend on our sophistication using large datasets.”

2. AI can help improve the quality of dialogue online and help organizations better understand their readers' needs.

Given the increasing abuse and harassment found in online conversations, many publishers are backing away from allowing comments on articles. For the Times, the Perspective API tool developed by Jigsaw (part of Google’s parent company Alphabet), is creating an opportunity to encourage constructive discussions online by using machine learning to increase the efficiency of comment moderation. Previously, the Times could only moderate comments on 10 percent of articles. The Times aspires to use Perspective to enable commenting on all its articles.

The Times is also thinking about using AI to increase the relevance of what they deliver to readers. As Rockwell notes, “Our readers have always looked to us to filter the world, but to do that only through editorial curation is a one-size-fits-all approach. There is a lot we can do to better serve them.”

3. Applying journalistic standards is essential to AI’s successful implementation in newsrooms

Both panelists agreed that the editorial standards that go into creating quality journalism should be applied to AI-fueled journalism. As Francesco Marconi, the author of the AP report, remarked, “Humans make mistakes. Algorithms make mistakes. All the editorial standards should be applied to the technology.”

Here are a few approaches we’ve seen for how those standards can be applied to the technology:

  • Pairing up journalists with the tech. At the AP, business journalists trained software to understand how to write an earnings report.
  • Serving as editorial gatekeepers. News editors should play a role in synthesizing and framing the information AI produces.
  • Ensuring more inclusive reporting. In 2016, Google.org, USC and the Geena Davis Foundation used machine learning to create a tool that collects data on gender portrayals in media.

What’s ahead

What will it take for AI to be a positive force in journalism? The conversation showed that while the path wasn’t certain, getting to the right answers would require close collaboration between the technology industry, news organizations, and journalists.

“There is a lot of work to do, but it’s about the mindset,” D’Aniello said. “Technology was seen as a disruptor of the newsroom, and it was difficult to introduce things. I don’t think this is the case anymore. The urgency and the need is perceived at the editorial level.”

We look forward to continuing to host more conversations on important topics like this one. Learn more about the Google News Lab on our website.

Header image of robotic camera courtesy of Associated Press.

AI in the newsroom: What’s happening and what’s next?

Bringing people together to discuss the forces shaping journalism is central to our mission at the Google News Lab. Earlier this month, we invited Nick Rockwell, the Chief Technology Officer from the New York Times, and Luca D’Aniello, the Chief Technology Officer at the Associated Press, to Google’s New York office to talk about the future of artificial intelligence in journalism and the challenges and opportunities it presents for newsrooms.

The event opened with an overview of the AP's recent report, "The Future of Augmented Journalism: a guide for newsrooms in the age of smart machines,” which was based on interviews with dozens of journalists, technologists, and academics (and compiled with the help of a robot, of course). As early adopters of this technology, the AP highlighted a number of their earlier experiments:

Boxing match image captured by one of AP’s AI-powered cameras
This image of a boxing match was captured by one of AP’s AI-powered cameras.
  • Deploying more than a dozen AI-powered robotic cameras at the 2016 Summer Olympics to capture angles not easily available to journalists
  • Using Google’s Cloud Vision API to classify and tag photos automatically throughout the report
  • Increasing news coverage of quarterly earnings reports from 400 to 4,000 companies using automation

The report also addressed key concerns, including risks associated with unchecked algorithms, potential for workflow disruption, and the growing gap in skill sets.

Here are three themes that emerged from the conversation with Rockwell and D’Aniello:

1. AI will increase a news organization's ability to focus on content creation

D’Aniello noted that journalists, often “pressed for resources,” are forced to “spend most of their time creating multiple versions of the same content for different outlets.” AI can reduce monotonous tasks like these and allow journalists to to spend more of their time on their core expertise: reporting.

For Rockwell, AI could also be leveraged to power new reporting, helping journalists analyze massive data sets to surface untold stories. Rockwell noted that “the big stories will be found in data, and whether we can find them or not will depend on our sophistication using large datasets.”

2. AI can help improve the quality of dialogue online and help organizations better understand their readers' needs.

Given the increasing abuse and harassment found in online conversations, many publishers are backing away from allowing comments on articles. For the Times, the Perspective API tool developed by Jigsaw (part of Google’s parent company Alphabet), is creating an opportunity to encourage constructive discussions online by using machine learning to increase the efficiency of comment moderation. Previously, the Times could only moderate comments on 10 percent of articles. Now, the technology has allowed them to allow commenting on all articles.

The Times is also thinking about using AI to increase the relevance of what they deliver to readers. As Rockwell notes, “Our readers have always looked to us to filter the world, but to do that only through editorial curation is a one-size-fits-all approach. There is a lot we can do to better serve them.”

3. Applying journalistic standards is essential to AI’s successful implementation in newsrooms

Both panelists agreed that the editorial standards that go into creating quality journalism should be applied to AI-fueled journalism. As Francesco Marconi, the author of the AP report, remarked, “Humans make mistakes. Algorithms make mistakes. All the editorial standards should be applied to the technology.”

Here are a few approaches we’ve seen for how those standards can be applied to the technology:

  • Pairing up journalists with the tech. At the AP, business journalists trained software to understand how to write an earnings report.
  • Serving as editorial gatekeepers. News editors should play a role in synthesizing and framing the information AI produces.
  • Ensuring more inclusive reporting. In 2016, Google.org, USC and the Geena Davis Foundation used machine learning to create a tool that collects data on gender portrayals in media.

What’s ahead

What will it take for AI to be a positive force in journalism? The conversation showed that while the path wasn’t certain, getting to the right answers would require close collaboration between the technology industry, news organizations, and journalists.

“There is a lot of work to do, but it’s about the mindset,” D’Aniello said. “Technology was seen as a disruptor of the newsroom, and it was difficult to introduce things. I don’t think this is the case anymore. The urgency and the need is perceived at the editorial level.”

We look forward to continuing to host more conversations on important topics like this one. Learn more about the Google News Lab on our website.

Header image of robotic camera courtesy of Associated Press.

Source: Google Cloud


AI in the newsroom: What’s happening and what’s next?

Bringing people together to discuss the forces shaping journalism is central to our mission at the Google News Lab. Earlier this month, we invited Nick Rockwell, the Chief Technology Officer from the New York Times, and Luca D’Aniello, the Chief Technology Officer at the Associated Press, to Google’s New York office to talk about the future of artificial intelligence in journalism and the challenges and opportunities it presents for newsrooms.

The event opened with an overview of the AP's recent report, "The Future of Augmented Journalism: a guide for newsrooms in the age of smart machines,” which was based on interviews with dozens of journalists, technologists, and academics (and compiled with the help of a robot, of course). As early adopters of this technology, the AP highlighted a number of their earlier experiments:

Boxing match image captured by one of AP’s AI-powered cameras
This image of a boxing match was captured by one of AP’s AI-powered cameras.
  • Deploying more than a dozen AI-powered robotic cameras at the 2016 Summer Olympics to capture angles not easily available to journalists
  • Using Google’s Cloud Vision API to classify and tag photos automatically throughout the report
  • Increasing news coverage of quarterly earnings reports from 400 to 4,000 companies using automation

The report also addressed key concerns, including risks associated with unchecked algorithms, potential for workflow disruption, and the growing gap in skill sets.

Here are three themes that emerged from the conversation with Rockwell and D’Aniello:

1. AI will increase a news organization's ability to focus on content creation

D’Aniello noted that journalists, often “pressed for resources,” are forced to “spend most of their time creating multiple versions of the same content for different outlets.” AI can reduce monotonous tasks like these and allow journalists to to spend more of their time on their core expertise: reporting.

For Rockwell, AI could also be leveraged to power new reporting, helping journalists analyze massive data sets to surface untold stories. Rockwell noted that “the big stories will be found in data, and whether we can find them or not will depend on our sophistication using large datasets.”

2. AI can help improve the quality of dialogue online and help organizations better understand their readers' needs.

Given the increasing abuse and harassment found in online conversations, many publishers are backing away from allowing comments on articles. For the Times, the Perspective API tool developed by Jigsaw (part of Google’s parent company Alphabet), is creating an opportunity to encourage constructive discussions online by using machine learning to increase the efficiency of comment moderation. Previously, the Times could only moderate comments on 10 percent of articles. Now, the technology has allowed them to allow commenting on all articles.

The Times is also thinking about using AI to increase the relevance of what they deliver to readers. As Rockwell notes, “Our readers have always looked to us to filter the world, but to do that only through editorial curation is a one-size-fits-all approach. There is a lot we can do to better serve them.”

3. Applying journalistic standards is essential to AI’s successful implementation in newsrooms

Both panelists agreed that the editorial standards that go into creating quality journalism should be applied to AI-fueled journalism. As Francesco Marconi, the author of the AP report, remarked, “Humans make mistakes. Algorithms make mistakes. All the editorial standards should be applied to the technology.”

Here are a few approaches we’ve seen for how those standards can be applied to the technology:

  • Pairing up journalists with the tech. At the AP, business journalists trained software to understand how to write an earnings report.
  • Serving as editorial gatekeepers. News editors should play a role in synthesizing and framing the information AI produces.
  • Ensuring more inclusive reporting. In 2016, Google.org, USC and the Geena Davis Foundation used machine learning to create a tool that collects data on gender portrayals in media.

What’s ahead

What will it take for AI to be a positive force in journalism? The conversation showed that while the path wasn’t certain, getting to the right answers would require close collaboration between the technology industry, news organizations, and journalists.

“There is a lot of work to do, but it’s about the mindset,” D’Aniello said. “Technology was seen as a disruptor of the newsroom, and it was difficult to introduce things. I don’t think this is the case anymore. The urgency and the need is perceived at the editorial level.”

We look forward to continuing to host more conversations on important topics like this one. Learn more about the Google News Lab on our website.

Header image of robotic camera courtesy of Associated Press.