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The Markov stuff seems like such a poor approach. Though you can get by with it in 140 characters better than other places. Twitter provides a public stream of
by dpeck 13y ago
The Markov stuff seems like such a poor approach. Though you can get by with it in 140 characters better than other places.
Twitter provides a public stream of tweets. Simply pull tweets out of that, if it doesn't contain another users name or url, etc. Distribute out to one of your bots, weighted by chattiness. Get fancy and have some sort of baysian filtering for what category bucket it falls into and give your bots interests.
- glomph 13y agoWouldn't that be trivial to detect for their spam filters?
- dpeck 13y agoMaybe? They never did anything with the proof of concept ones I worked up, but I never did anything with them other than basic interactions with the network. I'd guess there are enough duplicate tweets. "Another crappy day at work", "looking forward to dinner tonight", "going to see my sister this weekend!", etc. That I doubt it'd be a very useful heuristic.
- simcop2387 13y agoI actually did that and let it run for a week. It got flagged for spam pretty quickly. I suspect because it was a pretty similar tactic to avoid filters.
- bonzoesc 13y agoFor all the janky looking URLs I get from eggs that only have like twenty tweets, half of them janky looking URLs, I don't believe anything is trivial for Twitter's spam filters.
- eli 13y agoPoor approach or not, it's a fact that Markov chains are used by web scrapers, comment bots, and email spammers.