Home How Deepfakes Could Affect the Journalism Industry

How Deepfakes Could Affect the Journalism Industry

Over the years, it’s evident that as the technology industry advances, it reshapes the landscape of our world, leaving a ripple effect on other industries. Take artificial intelligence (AI) tools like ChatGPT or Bard, for example. Within a short period, the chatbot, developed by OpenAI, has gone from providing simple query answers to helping everyone–from students to software engineers–create essay content and even generate code snippets. Regardless of what the public might feel about ChatGPT, one thing’s for sure; its arrival has changed the way we work on a daily basis and will continue to do so.

See also: ChatGPT: Everything You Need to Know and Timeline of Events

In recent times though, one disruptive form of technology has been making waves for multiple reasons and has been accused of proliferating fake news. Deepfakes, a portmanteau of the terms “deep learning” and “fake,” have the ability to fabricate photos, videos, and other media types with unprecedented accuracy, making it easy to believe that they’re real. However, as virtual private network and cybersecurity company ExpressVPN has found, deepfakes have the power to change our perception of reality.

The impact deepfake could have on journalism

As it stands, the impacts of deepfake can already be felt in industries like entertainment, politics, and social media. Sectors like journalism–considered the cornerstone of various societies–have also not been exempted from it. For some, this could be a worrying trend.

Earlier this year, images of the Pope in a white Moncler-looking puffer jacket and former U.S. President Donald Trump in an orange prison jumpsuit being arrested began circulating. Despite how convincing they looked, the images weren’t authentic and were created by a software called Midjourney.

Following the incident, multiple online users, including celebrities like Chrissy Teigen and journalists like James O’Malley, believed the photos to be true and were shocked to know they weren’t. Below, we explore the various ways in which deepfake technology could further blur the lines between the real and the artificial:

1. Threats to the veracity of information and the news:

As deepfake technology becomes more sophisticated, it’s increasingly difficult to discern between deepfakes from real photos, videos, and audio clips. Such media content could lead to the spread of misinformation and fake news on an unprecedented scale. This could potentially jeopardize the credibility of journalistic sources.

2. More work and research are required

Timeliness is an important quality in journalism, but the advent of deepfakes means that journalists and editors will have to spend more time researching and verifying that any footage that comes through hasn’t been doctored. This could slow the reporting and publishing process. Some publications, like the Wall Street Journal, have even launched an internal task force that detects deepfakes.

3. The rise of alternate realities

In their article, ExpressVPN explored how a phenomenon known as the Mandela Effect could influence how we remember events and facts. The phenomenon, named after former South African President Nelson Mandela, came to be when it was discovered that multiple people had somehow misremembered the date of his death. In 2018, Buzzfeed published a convincing deepfake video of former U.S. President Barack Obama saying unfavorable things about Donald Trump. The video, which turned out to be a creepy yet powerful PSA, reminded viewers of the need to be more vigilant with what they see on the internet.

The double-edged sword of deepfakes

However, while it has its shortcomings, deepfakes can also be a powerful tool for journalism. Below, we look at some of the ways that deepfakes can benefit the journalism industry.

1. A tool for investigative journalism

Despite their potential for misinformation, deepfakes offer new investigative journalism avenues. Journalists can use this technology to recreate events, simulate potential scenarios, or visualize complex stories more engagingly and understandably. However, these applications must be handled with transparency and ethical guidelines to prevent misuse and misunderstandings.

2. More exciting and enhanced means of storytelling

Another potential application of deepfakes in journalism lies in storytelling. The ability to recreate real-life scenarios can bring a new level of immersion and understanding to readers digitally. For example, using deepfake technology to animate historical figures could allow audiences to “experience” history, making stories more relatable and engaging. Considering that many publications are turning to a pay-wall subscription model, such engaging content could entice more paid customers.

3. Help human rights journalists remain anonymous

Journalists located in jurisdictions with oppressive regimes on free-speech policies could turn to deepfakes to help report on stories and issues happening in their region. The use of such synthetic media could help journalists remain anonymous and protect their privacy.

The rise of deepfakes has necessitated the development of new tools and methods for verifying media content. AI systems designed to detect deepfakes are now emerging, and newsrooms are integrating these tools to authenticate their sources. Furthermore, initiatives like the Content Authenticity Initiative and Project Origin are working on developing industry-wide standards for content provenance to combat deepfake misinformation.

The journalistic community must maintain ethical guidelines to govern the use of deepfakes in reporting. While recreating scenes or events can provide context and depth to stories, it must be done transparently. It needs to clearly indicate to readers when and how deepfake technology has been used.

4. The introduction of new jobs and skill developments

With multiple publications and newsrooms setting up AI and deepfake detection task forces, there may be new avenues that aspiring journalists or even experienced journalists can explore in their careers. The introduction of these departments could lead to more job opportunities for employees in sectors such as marketing, IT, and graphic design.

What can readers do to prevent themselves from falling for deepfake stories?

Newsrooms and journalists have a part to play in protecting their readers from misinformation. Yet, there are definitely things that readers can do as well to prevent themselves from falling victim to deepfakes. Despite how difficult it seems to detect, there are certain steps readers can take to protect themselves, too.

1. Don’t believe everything you see online

It’s easy to believe everything you read and see online. However, given the current climate and the proliferation of deepfakes on social media, it’s worth adopting a healthy sense of skepticism when consuming content online. The use of generative AI is a growing cybersecurity threat and one which has seen hackers conjure up more sophisticated attacks.

Before sharing anything with others, ask yourself if what you see might be too good to be true. It’s also worth questioning if a source is trustworthy. Plus, question whether a publication has been known to lean towards a particular slant.

Thankfully, these days, tools like FakeCatcher, a cloud-based AI software, can help you detect if a video, photo, or media content you’re viewing could potentially be a deepfake.

2. Verify any content if you’re unsure

In an attempt to help readers and protect them from falling for misinformation, many social media like Facebook and Twitter, as well as news platforms, now introduce features that verify if a post, Tweet, or article has been fact-checked.

However, despite their best efforts, sometimes, pieces of content might slip through the cracks. Readers could end up viewing something that might not have been verified. As such, it’s important for readers to independently verify this content themselves.

For example, suppose a suspicious video or image of a political figure releases on social media. In that case, readers can verify if the media is indeed genuine. They need to refer to other websites and see if there are other sources. Readers should also avoid sharing pieces of content that they’re uncertain about with others. This avoids the possibility of sharing fake news and spreading false information.

3. Stay up to date on the latest types of deepfakes

The world of deepfakes, machine learning, and AI moves fast, which means that developments happen almost daily. As such, it’s extremely important for the general public to stay informed about the various deepfakes that might appear over time. Social media can be a great tool for staying informed on AI’s latest news and trends.

Deepfake technology is redefining the boundaries of journalism, offering unprecedented possibilities and challenges. As this technology advances, it’s essential for journalists, technologists, policymakers, and society at large to engage in a continuous dialogue about its ethical, legal, and societal implications. A proactive approach–incorporating new verification tools, establishing ethical guidelines, and educating the public about deepfakes–is crucial to harnessing this technology’s power while safeguarding journalism’s integrity.

These are exciting times for the journalism industry. Journalism is inherently about seeking the truth, being the fourth estate, and presenting the information to the public. The advent of deepfakes doesn’t change this mission. It merely adds another layer to navigate, which, if used ethically, could pave the way for new forms of storytelling.

About ReadWrite’s Editorial Process

The ReadWrite Editorial policy involves closely monitoring the tech industry for major developments, new product launches, AI breakthroughs, video game releases and other newsworthy events. Editors assign relevant stories to staff writers or freelance contributors with expertise in each particular topic area. Before publication, articles go through a rigorous round of editing for accuracy, clarity, and to ensure adherence to ReadWrite's style guidelines.

Deanna Ritchie
Former Editor

Deanna was an editor at ReadWrite until early 2024. Previously she worked as the Editor in Chief for Startup Grind, Editor in Chief for Calendar, editor at Entrepreneur media, and has over 20+ years of experience in content management and content development.

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