A New Form of Social Curation Emerges with Xikipedia
In an effort to mitigate the mental toll of endless scrolling through social media feeds, developer Lyra Rebane has created Xikipedia – a unique blend of Wikipedia and social media. The brainchild of someone who couldn't resist the allure of a curated feed, Xikipedia aggregates content from Simple Wikipedia using a basic algorithm that learns user behavior over time.
This local algorithm generates content based on user engagement patterns, but unlike traditional algorithms used by social media platforms, it doesn't collect or share any data – ensuring complete user anonymity. With no external data sources, the algorithm relies solely on user feedback to curate its feed, which can be tailored to specific categories or even custom ones.
Xikipedia has a 'like' system in place, allowing users to interact with content and further personalize their experience. When you like an entry, it's more likely that posts from similar categories will appear in your feed, creating a unique social media-like interaction within the Wikipedia ecosystem.
However, users must be aware that due to Xikipedia's reliance on random article selection, explicit or NSFW content may occasionally surface if users engage with certain entries. Additionally, Xikipedia takes time to load its data – requiring patience from users willing to explore this innovative feed.
The developer's inspiration for Xikipedia can be likened to the early days of StumbleUpon, where discovering new articles was a core experience. While some minor issues exist – such as outdated content in certain categories – Xikipedia stands out as an engaging starting point for exploring Wikipedia and beyond.
In an effort to mitigate the mental toll of endless scrolling through social media feeds, developer Lyra Rebane has created Xikipedia – a unique blend of Wikipedia and social media. The brainchild of someone who couldn't resist the allure of a curated feed, Xikipedia aggregates content from Simple Wikipedia using a basic algorithm that learns user behavior over time.
This local algorithm generates content based on user engagement patterns, but unlike traditional algorithms used by social media platforms, it doesn't collect or share any data – ensuring complete user anonymity. With no external data sources, the algorithm relies solely on user feedback to curate its feed, which can be tailored to specific categories or even custom ones.
Xikipedia has a 'like' system in place, allowing users to interact with content and further personalize their experience. When you like an entry, it's more likely that posts from similar categories will appear in your feed, creating a unique social media-like interaction within the Wikipedia ecosystem.
However, users must be aware that due to Xikipedia's reliance on random article selection, explicit or NSFW content may occasionally surface if users engage with certain entries. Additionally, Xikipedia takes time to load its data – requiring patience from users willing to explore this innovative feed.
The developer's inspiration for Xikipedia can be likened to the early days of StumbleUpon, where discovering new articles was a core experience. While some minor issues exist – such as outdated content in certain categories – Xikipedia stands out as an engaging starting point for exploring Wikipedia and beyond.
. It's like having a personalized Wikipedia feed that actually learns what you like, without all the creepiness of traditional social media. The lack of data collection is a major win in my book 
. I do wish they'd iron out some of those content issues, but overall it's a great starting point for digging into topics that interest me 
. Anyone else tried it out? 
I mean, I've seen some weird stuff on Simple Wikipedia already... wouldn't want NSFW content ruining my day 
. And what's up with the loading time? 10 minutes is too long for me to wait 
. But at the same time, I love the idea of having a social media-like interaction within Wikipedia... it makes sense that I'd wanna engage more with articles I like 
still, having a curated feed that doesn't collect data sounds pretty appealing, especially if it's just learning from user interactions. maybe this is the answer to our social media fatigue problem, and we can actually use wikipedia in a more interactive way. but at the same time, i'm not sure how well it'll hold up over time... like what happens when new articles get added or outdated content stays on the site? 
! I mean, think about it - you can finally have your social media and wikipedia cake too without all the drama and negativity 
. And the fact that it's all anonymous is so refreshing, like we're finally giving ourselves a break from the constant "like" or "comment" pressure 
. Plus, I love how they're curating content based on what you actually care about - no more algorithmic bull 
Can't wait to dive in and discover all the amazing articles I've been missing out on 
i mean, endless scrolling can literally drive u crazy! Xikipedia seems like a breath of fresh air, using user behavior to curate content instead of just pumping out algorithmic crap. no more data mining for them, yay 
and the fact that explicit content might pop up is actually kinda refreshing? it means we're still human and can handle some weirdness 
plus, the 'like' system feels like a natural extension of how we already interact with wikipedia. minor issues aside, i'm down to give xikipedia a try! 
. I get that we're all tired of endless scrolling, but do we really need a curated feed that's just as bad? The algorithm is just a fancy way of saying "we'll show you what we think is cool". And don't even get me started on the 'like' system - it's like they took social media and put it inside Wikipedia 
. It's just more noise. I liked browsing through random articles when I wanted to learn something new, not having some algorithm deciding what's good for me. Plus, have you seen how slow Xikipedia is? 
Take your time loading up the page and get ready for some outdated content 
...
. I can already imagine my feed being filled with interesting articles and fun facts 
. anyway, can't wait to dive into xikipedia and see what interesting stuff I can discover 
!
. I mean, who doesn't want a personalized feed that learns what we're into without sharing our data? It's like having our own personal librarian - minus the judgmental looks when we ask for "I'll have the same Wikipedia entry again, please" 