5 ms·

Ask HN: Is there a way to filter just tech content?

3 points by aliqot 4y ago

Not interested in periphery and social issues. Is there a plugin or some tagging feature I'm overlooking?

Bender 4y ago
I do not know how to only display tech issues specifically, but someone recently posted uBlock addon filters [1] that can remove specific topics by keyword. I've modified mine a little. Adjust the keywords as needed. After installing uBlock, go to add-ons -> uBlock Preferences -> My Filters # top (title / url) news.ycombinator.com##tr.athing span.titleline > a:has-text(/(Musk|Twitter|Mastodon|blockchain)/):upward(tr) # bottom (stats / comments) news.ycombinator.com##tr.athing span.titleline > a:has-text(/(Musk|Twitter|Mastodon|blockchain)/):upward(tr) + * [1] - https://addons.mozilla.org/en-US/firefox/addon/ublock-origin/ https://addons.mozilla.org/en-US/firefox/addon/ublock-origin...
- aliqot 4y ago
  Thanks! This should do the trick.
syuuywge 4y ago
- beardyw 4y ago
  = 22026.3176336841745
PaulHoule 4y ago
I made this a while back https://ontology2.com/essays/ClassifyingHackerNewsArticles/ https://ontology2.com/essays/ClassifyingHackerNewsArticles/ I've repurposed the same code for a few different projects such as a job search (e.g. I got the second job I applied for when I told them abut it) I am thinking about getting it out of mothballs and making it reusable and more sustainable and also adding some kind of clustering engine. What I can't stand right now is the headline "Astronomers discover the closest black hole" from the Earth that has been heavily me-tooed for the last month to the point where I'm wondering if (1) the astronomers discovered another one or (2) if some people only read the news once a month.
- aliqot 4y ago
  Wow you put a lot of work into this. What motivated you? It's interesting that the submitter based model wasn't more successful. You'd think people would center more around niches.
  - PaulHoule 4y ago
    I have a hard time ignoring things so I want good filters. More of my motivations are written up here https://ontology2.com/essays/HackerNewsForHackers/ https://ontology2.com/essays/HackerNewsForHackers/ but a lot of that turned out to be factually wrong. For instance that "Apple overload" was pretty temporary because Apple had made a wave of product announcements. Today people might claim about "Twitter overload" but it will be something else next month. As for submitters I think that for what I am measuring the people who submit a lot of things and have high karma tend to be pretty average in what they submit since they've internalized some model of what does well on HN. I bet there are people with a very different profile but they would have fewer submissions so the model wouldn't be able to make strong conclusions... That logit model I used is well-calibrated and not prone to jump to conclusions if it has just a little bit of data. With the right model and tools you might store something out. Overall I think my submissions are pretty average but I have a list of web sites that I scan and every day you'll notice I post something from The Cornell Chronicle, World Nuclear News, phys.org, arstechnica, arxiv, etc... Most superposters have an efficient strategy for posting a diversified selection of articles that have broad appeal.

3 points by aliqot 4y ago

Not interested in periphery and social issues. Is there a plugin or some tagging feature I'm overlooking?

I do not know how to only display tech issues specifically, but someone recently posted uBlock addon filters [1] that can remove specific topics by keyword. I've modified mine a little. Adjust the keywords as needed. After installing uBlock, go to add-ons -> uBlock Preferences -> My Filters # top (title / url) news.ycombinator.com##tr.athing span.titleline > a:has-text(/(Musk|Twitter|Mastodon|blockchain)/):upward(tr) # bottom (stats / comments) news.ycombinator.com##tr.athing span.titleline > a:has-text(/(Musk|Twitter|Mastodon|blockchain)/):upward(tr) + * [1] - https://addons.mozilla.org/en-US/firefox/addon/ublock-origin/ https://addons.mozilla.org/en-US/firefox/addon/ublock-origin...

aliqot 4y ago
Thanks! This should do the trick.

syuuywge 4y ago

beardyw 4y ago
= 22026.3176336841745

PaulHoule 4y ago

I made this a while back https://ontology2.com/essays/ClassifyingHackerNewsArticles/ https://ontology2.com/essays/ClassifyingHackerNewsArticles/ I've repurposed the same code for a few different projects such as a job search (e.g. I got the second job I applied for when I told them abut it) I am thinking about getting it out of mothballs and making it reusable and more sustainable and also adding some kind of clustering engine. What I can't stand right now is the headline "Astronomers discover the closest black hole" from the Earth that has been heavily me-tooed for the last month to the point where I'm wondering if (1) the astronomers discovered another one or (2) if some people only read the news once a month.

aliqot 4y ago
Wow you put a lot of work into this. What motivated you? It's interesting that the submitter based model wasn't more successful. You'd think people would center more around niches.
- PaulHoule 4y ago
  I have a hard time ignoring things so I want good filters. More of my motivations are written up here https://ontology2.com/essays/HackerNewsForHackers/ https://ontology2.com/essays/HackerNewsForHackers/ but a lot of that turned out to be factually wrong. For instance that "Apple overload" was pretty temporary because Apple had made a wave of product announcements. Today people might claim about "Twitter overload" but it will be something else next month. As for submitters I think that for what I am measuring the people who submit a lot of things and have high karma tend to be pretty average in what they submit since they've internalized some model of what does well on HN. I bet there are people with a very different profile but they would have fewer submissions so the model wouldn't be able to make strong conclusions... That logit model I used is well-calibrated and not prone to jump to conclusions if it has just a little bit of data. With the right model and tools you might store something out. Overall I think my submissions are pretty average but I have a list of web sites that I scan and every day you'll notice I post something from The Cornell Chronicle, World Nuclear News, phys.org, arstechnica, arxiv, etc... Most superposters have an efficient strategy for posting a diversified selection of articles that have broad appeal.