nixtaken

39 ms·

151.
How to Destroy Talent - The Great Icing Conspiracy(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
152.
New Work, Flow Summit, Twitch, and Quora(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
153.
The Ontology of Pop Physics(tabletmag.com)
1 points by nixtaken 6y ago|0 comments
154.
The effect of hidden feedback loops on error analysis(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
155.
Artificial and Real Intelligence at Big Science Labs(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
156.
Academic Treason(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
157.
Linux vs. Windows (A Romance)(kirstenhacker.wordpress.com)
4 points by nixtaken 6y ago|1 comments
158.
Youaregonnaloseyourjob (In Physics Research)(kirstenhacker.wordpress.com)
3 points by nixtaken 6y ago|0 comments
159.
Campaign fueled by Fortune 500 company to terrorize middle-aged couple(npr.org)
3 points by nixtaken 6y ago|0 comments
160.
How to Unethically Market Your Books(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
161.
Archaeologist Jailed for Faking Finds(edition.cnn.com)
2 points by nixtaken 6y ago|0 comments
162.
Steal as Much as You Can: was this book a satire?(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
163.
by nixtaken 6y ago
Does anyone here know of any algorithms that can establish the genealogy of a text? I know about plagiarism detectors, but they can only find verbatim plagiarism. Are there any tools that can quantify structural plagiarism. In this article,
164.
Alone in the New Pollution (on quantification of the genealogy of a story)(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|1 comments
165.
Steal as Much as You Can: How to Win the Culture Wars in Age of Austerity(tribunemag.co.uk)
2 points by nixtaken 6y ago|0 comments
166.
There is no hype machine for selling literature to dudes(melmagazine.com)
2 points by nixtaken 6y ago|0 comments
167.
What Is the Competency Trap? (Xerox, Gates, Jobs)(bbc.com)
4 points by nixtaken 6y ago|0 comments
168.
Translators Wanted. Heroes and Artists Need Not Apply(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
169.
Theogony of Napoleon Dynamite(kirstenhacker.wordpress.com)
2 points by nixtaken 6y ago|0 comments
170.
Simpson's Paradox Applied to Physics and Love(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
171.
Buried in the Sands of Time(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
172.
Who Owns Boogaloo?(npr.org)
1 points by nixtaken 6y ago|0 comments
173.
Beware the IDEs(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments
174.
Estrangement from the Means of Production(kirstenhacker.wordpress.com)
2 points by nixtaken 6y ago|0 comments
175.
How many social media users are real people?(gizmodo.com)
7 points by nixtaken 6y ago|2 comments
176.
by nixtaken 6y ago
They could get rid of bots with Captchas, but they don't. That suggests to me that the people funding Twitter want to be able to use bots.
177.
by nixtaken 6y ago
Personally, I watched a guy who was promoting his crappy, plagiarized book go from 25k followers to 90k followers over the course of a week. They were all clearly fake since he rarely got more than a single like on everything he Tweeted.
178.
by nixtaken 6y ago
The idea that half of Twitter's accounts are bots is not new: https://gizmodo.com/how-many-social-media-users-are-real-peo... (written in 2018) Another older article puts the issue into a larger social context and make
179.
Analysis of 200M tweets discussing coronavirus suggests 45%-60% come from bots(marketwatch.com)
169 points by nixtaken 6y ago|159 comments
180.
Anderson Localization and Complexity(kirstenhacker.wordpress.com)
1 points by nixtaken 6y ago|0 comments

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