Researchers are improving detection algorithms to make them fairer and more accurate by incorporating greater demographic diversity, according to The Conversation. Deepfakes, synthetic media in which a person’s likeness is replaced with someone else’s without consent, are rapidly advancing. From realistic representations of celebrities in compromising situations to false statements by political leaders, technology poses a significant threat to trust and truth in digital media. As these manipulations become harder to detect, the want to develop tools to disprove them grows. Bias in Detection Algorithms Typically, deepfake detection systems rely
More than 200 groups, including civil organizations, researchers, and journalists, have written to major tech company CEOs, urging them to take action to ensure truthful online content and safeguard democratic processes. The letter that went out to the CEOs of Discord, Google, Instagram, Meta, TikTok, X, YouTube, Pinterest, Reddit, Snap, Rumble, and Twitch, coincides with upcoming elections in over 60 countries in 2024. The Impact Of Online Discourse On Democracy “Research illustrates that individual users can have an outsized impact on online discourse, which results in real-world harms, such as the rise of extremism and violent attempts to overthrow democratic
In the run-up to the 2024 US presidential election, an alarming trend has emerged as supporters of former President Donald Trump are creating AI-generated fake images of Black voters. What Is Happening? This tactic is seen as a sophisticated effort to sway African American support towards the Republican party. BBC Panorama’s investigation uncovered numerous deepfakes portraying Black individuals as Trump supporters. While there’s no direct link to Trump’s campaign, these images feed into a narrative of Trump’s popularity within the Black community. “There have been documented attempts to target disinformation
