The Guardian article explores the concerning possibility that online pornography algorithms, designed to maximize user engagement, might be inadvertently leading users down a path towards illegal and harmful content, including child sexual abuse material. While some argue that these algorithms simply cater to pre-existing desires, the article highlights the potential for the "related videos" function and autoplay features to gradually expose users to increasingly extreme content they wouldn't have sought out otherwise. It features the story of one anonymous user who claims to have been led down this path, raising questions about whether these algorithms are merely reflecting a demand or actively shaping it, potentially creating a new generation of individuals with illegal and harmful sexual interests.
The author describes creating a DNS sinkhole using an ESP32 microcontroller to combat doomscrolling. By intercepting DNS requests on their local network and redirecting specific domains (like social media sites) to a local web server, they effectively block access to these sites. The ESP32 runs a custom DNS server that returns a pre-defined IP address for targeted domains, leading devices to a blank webpage hosted on the ESP32 itself. This allows the author to curtail time spent on distracting websites without relying on browser extensions or more complex network configurations.
Hacker News users generally praised the project's simplicity and effectiveness for blocking distracting websites. Several commenters suggested improvements, such as using a pre-built DNS sinkhole list or implementing a local DNS server for better performance. Some discussed the ethics and potential downsides of blocking websites, particularly for families or in situations where access is necessary. Others offered alternative solutions, like using Pi-hole or modifying the hosts file. A few pointed out potential issues with the ESP32's limited resources and the importance of using a reliable power supply. The overall sentiment was positive, viewing the project as a clever, albeit somewhat limited, solution to a common problem.
Frustrated with excessive phone use, the creator developed "Touch Grass," an Android app designed to encourage breaks from screen time. The app uses GPS to confirm the user is physically outside and then starts a timer. Only after spending a user-defined amount of time outdoors will the app grant access to blocked apps, effectively locking the user out until they've "touched grass." This gamified approach aims to promote healthier digital habits and reconnect users with the real world.
Hacker News commenters generally found the "touch grass" app amusing, but impractical. Several questioned the effectiveness of physically touching grass through a phone screen, noting the inherent irony and missing the point of the idiom. Some suggested improvements like requiring a photo of actual grass or GPS verification of being outdoors. Others highlighted the performative nature of the app, comparing it to other avoidance techniques. A few commenters appreciated the humor and simple execution, viewing it as a lighthearted take on the problem of doomscrolling. Some pointed out the potential for addictive gamification of "touching grass" itself. Overall, the consensus leaned towards the app being a fun, albeit slightly absurd, commentary on internet overuse rather than a serious solution.
The author describes their struggle with doomscrolling, driven by a combination of FOMO (fear of missing out) and a desire to stay informed. They acknowledge the negative impact it has on their mental health, leading to increased anxiety, sleep disruption, and a distorted perception of reality. Despite recognizing the problem, they find it difficult to break the cycle due to the addictive nature of the constant information stream and the ease of access provided by smartphones. They express a desire to find strategies to manage their doomscrolling habit and reclaim control over their attention.
HN users largely agreed with the author's experience of doomscrolling, sharing their own struggles and coping mechanisms. Several suggested techniques like website blockers, strict time limits, and replacing the habit with other activities like reading physical books or exercising. Some pointed out the addictive nature of infinite scrolling and the algorithms designed to keep users engaged. A few commenters debated the definition of "doomscrolling," arguing that simply reading negative news isn't inherently bad if it leads to positive action. Others highlighted the importance of curating information sources and focusing on reliable, less sensationalized news. A recurring theme was the need for greater self-awareness and intentional effort to break free from the cycle.
Summary of Comments ( 29 )
https://news.ycombinator.com/item?id=43592353
Hacker News users discuss whether porn algorithms are creating or simply feeding a pre-existing generation of pedophiles. Some argue that algorithms, by recommending increasingly extreme content, can desensitize users and lead them down a path towards illegal material. Others contend that pedophilia is a pre-existing condition and algorithms merely surface this pre-existing inclination, providing a convenient scapegoat. Several commenters point to the lack of conclusive evidence to support either side and call for more research. The discussion also touches on the broader issue of content moderation and the responsibility of platforms in curating recommendations. A few users suggest that focusing solely on algorithms ignores other contributing societal factors. Finally, some express skepticism about the Guardian article's framing and question the author's agenda.
The Hacker News post "Are porn algorithms feeding a generation of paedophiles – or creating one?" generated a significant discussion with a variety of viewpoints. Several commenters expressed skepticism about the article's core premise. One highly upvoted comment questioned the causation implied by the headline, arguing that correlation doesn't equal causation and that the article presents no evidence that algorithms are creating pedophiles, only that they might be exposing existing ones to more illegal content. This commenter also highlighted the pre-internet existence of child sexual abuse and argued that technology might actually be making detection and prosecution easier.
Another upvoted comment focused on the article's lack of concrete examples of algorithms specifically recommending illegal content. They suggested that the article conflates legal but borderline content (like teen pornography) with illegal content (child sexual abuse material) and uses this conflation to create a misleading narrative. This commenter also expressed doubt that algorithms are sophisticated enough to understand the nuances of legality in this area.
Several other commenters echoed these sentiments, emphasizing the need for stronger evidence to support the article's claims. Some pointed out that the article relies heavily on anecdotal evidence and speculation.
A different line of discussion emerged around the difficulty of defining and policing "borderline" content. Some commenters acknowledged that while not illegal, certain types of legal pornography could be harmful and contribute to a culture that normalizes the sexualization of minors. This discussion touched upon the complexities of content moderation and the challenges of balancing free speech with the protection of children.
Another commenter raised the issue of the "Streisand effect," suggesting that articles like this one might inadvertently draw more attention to illegal content by publicizing it.
Finally, some comments focused on the potential solutions. One suggestion involved using technology to detect and remove illegal content, while others emphasized the importance of education and addressing the underlying societal issues that contribute to child sexual abuse.
Overall, the comments on Hacker News presented a critical perspective on the Guardian article. Many questioned the article's central argument and methodology, calling for more robust evidence and a more nuanced approach to the complex issue of online child sexual abuse.