Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
Alabama / Attorney General Steve Marshall / plaintiffs
Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Presenting more detail or emphasis on one side’s claims and supporting examples than on the other side’s responses or contextual information.
The article provides detailed descriptions of allegations and negative outcomes for social media companies: - “Alabama originally sued TikTok and its Chinese parent company ByteDance in April 2025, alleging the app was engineered to hook young users ‘just like a sophisticated gambling machine.’” - “In its complaint, the state said investigators set up TikTok accounts posing as 13-, 14- and 15-year-olds in Alabama and switched on Restricted Mode. Despite TikTok’s assurances that users in that mode should not see mature themes, the accounts were quickly served videos about suicide, self-harm, eating disorders, alcohol and sex, according to the filing.” - Multiple paragraphs detail large verdicts and settlements against Meta and YouTube: “In March, a jury in New Mexico ordered the Facebook and Instagram owner to pay $375 million…”, “In August, Meta agreed to pay $18 billion…”. By contrast, TikTok’s side is summarized briefly: - “TikTok… has argued that the case should be paused and that it is shielded by Section 230…” - A short corporate statement: “the company’s ‘priority has always been fostering a safe and positive space…’” There is little exploration of TikTok’s legal arguments, any expert commentary on Section 230, or independent assessment of whether the safety tools are effective or how they compare to industry norms. This creates a subtle tilt toward the plaintiffs’ framing, even though the tone remains mostly neutral.
Add more detail on TikTok’s legal arguments and rationale, for example: explain TikTok’s Section 230 argument, any motions it filed, and how courts have treated similar arguments in other cases.
Include independent expert or legal scholar commentary on the strength of Alabama’s claims and TikTok’s defenses, rather than only quoting the complaint and corporate PR.
Provide context on how TikTok’s safety features (Restricted Mode, Kids Mode, time limits) compare with those of other major platforms, to avoid implying TikTok is uniquely deficient without evidence.
Clarify that the allegations described (e.g., exposure to harmful content) are claims from the complaint and have not been adjudicated in this specific case due to the settlement.
Balance the list of negative outcomes for other platforms (Meta, YouTube) with any relevant examples where platforms have prevailed in court or where courts have limited liability, if such examples exist and are newsworthy.
Using emotionally charged comparisons or imagery that can influence readers’ feelings more than their reasoning, even when presented as a quote.
The article quotes the lawsuit’s characterization without additional neutral framing: - “Alabama originally sued TikTok and its Chinese parent company ByteDance in April 2025, alleging the app was engineered to hook young users ‘just like a sophisticated gambling machine.’” This metaphor is vivid and emotionally loaded, likely to provoke concern or alarm. While it is correctly attributed to the lawsuit, the article does not explicitly signal that this is advocacy language from plaintiffs rather than an established fact.
Explicitly frame such language as advocacy rhetoric, for example: “In language typical of plaintiff complaints, the lawsuit compared the app to ‘a sophisticated gambling machine,’ alleging it was engineered to hook young users.”
Add a brief clarification that this is an allegation, not a judicial finding: “The court has not ruled on the accuracy of this characterization, as the case settled before trial.”
Balance the emotional metaphor with a more technical description of the alleged design features (e.g., recommendation algorithms, notifications) so readers understand the concrete issues rather than only the metaphor.
Presenting a sequence of similar negative examples that reinforce a single narrative (social media platforms harming children and losing in court) without counterexamples or nuance, which can encourage readers to accept that narrative as obviously true.
The article lists several large verdicts and settlements against other platforms: - “In March, a jury in New Mexico ordered the Facebook and Instagram owner to pay $375 million…” - “That same month, a Los Angeles jury found Meta and Google’s YouTube negligent… awarding her $6 million.” - “In August, Meta agreed to pay $18 billion to settle a sweeping lawsuit…” All examples reinforce the idea that social media companies are consistently found liable and that their platforms are dangerous for children. No mention is made of cases where platforms have prevailed, where claims were dismissed, or where courts have narrowed liability. This selection of examples can feed an availability cascade: readers repeatedly see only negative legal outcomes and may overestimate their frequency or inevitability.
Note that the listed cases are examples and not an exhaustive record of all litigation outcomes involving social media and child safety, to avoid implying that all such cases end similarly.
If available and newsworthy, include at least one example where a platform successfully defended itself or where a court limited liability, to show that outcomes vary.
Add a sentence acknowledging ongoing legal debate: e.g., “Courts across the United States have reached differing conclusions about the extent to which social media companies can be held liable for harms to young users.”
Clarify the relevance of these other cases to the TikTok settlement (e.g., whether they influenced settlement strategy) rather than listing them only as a string of negative precedents.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.