filtering   5645

« earlier    

Hard Questions: Who Should Decide What Is Hate Speech in an Online Global Community? | Facebook Newsroom
"Our mistakes have caused a great deal of concern in a number of communities, including among groups who feel we act — or fail to act — out of bias. We are deeply committed to addressing and confronting bias anywhere it may exist. At the same time, we work to fix our mistakes quickly when they happen.

Last year, Shaun King, a prominent African-American activist, posted hate mail he had received that included vulgar slurs. We took down Mr. King’s post in error — not recognizing at first that it was shared to condemn the attack. When we were alerted to the mistake, we restored the post and apologized. Still, we know that these kinds of mistakes are deeply upsetting for the people involved and cut against the grain of everything we are trying to achieve at Facebook."

"People often ask: can’t artificial intelligence solve this? Technology will continue to be an important part of how we try to improve. We are, for example, experimenting with ways to filter the most obviously toxic language in comments so they are hidden from posts. But while we’re continuing to invest in these promising advances, we’re a long way from being able to rely on machine learning and AI to handle the complexity involved in assessing hate speech.

That’s why we rely so heavily on our community to identify and report potential hate speech."
hate_speech  ai  facebook  sns  spam  filtering  censorship 
17 days ago by incep
Google spent $60 million on building Content ID
That's how much it costs to build a not-particularly-accurate UGC copyright filter:
Google’s new report takes aim at this claim. It asserts that Content ID is a highly effective solution, with over 98 percent of copyright management on YouTube happening through Content ID, and just 2 percent coming from humans filing copyright removal notices. Google also says the music industry opts to monetize more than 95 percent of its copyright claims, meaning they leave the videos up on the service. It claims a whopping half of the music industry's YouTube revenue comes from fan content — covers, remixes, dance versions, etc. — claimed via Content ID. The report also puts a hard figure on how much Google has spent so far on Content ID: $60 million.
filtering  copyright  eu  article-13  copyfight  content-id  google  web  ugc 
8 weeks ago by jm
This Music Theory Professor Just Showed How Stupid and Broken Copyright Filters Are - Motherboard
Kaiser then decided to test Google’s system more fully. He opened a new YouTube account named Labeltest, and began sharing additional examples of copyright-free music.

“I quickly received Content ID notifications for copyright-free music by Bartok, Schubert, Puccini, and Wagner,” Kaiser said. “Again and again, YouTube told me that I was violating the copyright of these long-dead composers, despite all of my uploads existing in the public domain.”

Google’s Content ID is the result of more than $100 million in investment funds and countless development hours. Yet Kaiser found the system was largely incapable of differentiating between copyrighted music and content in the public domain. And the appeals process that Google has erected to tackle these false claims wasn’t any better.
content-id  copyright  copyright-filtering  youtube  fail  google  public-domain  ip  music  filtering  bartok  schubert  wagner  puccini 
10 weeks ago by jm
Mobicip - Filtering on Mobile Devices
Freemium filtering on mobile devices; paid version is only $40 a year for 5 devices
filtering  phone 
10 weeks ago by amann
Pseudo-bandlimited pixel art filtering in 3D – a mathematical derivation – Maister's Graphics Adventures
To sample pixel art, we actually need to apply two filters at once, which complicates things. First, we need to apply a rect kernel (NEAREST filter) to give our texel some proper area. We then apply a low-pass filter which will aim to band-limit the rect. Applying two filters after each other is the same as convolving them together. Convolution is an integral, so now we have some constraints on our filter kernel, because it needs to be cheap to analytically integrate. LUTs will be too costly and annoying to use.

A key point is that the low-pass filter kernel needs to adapt to our sampling rate of the texture. Basically, we need to be band-limited in screen space, not texture space. If we have a filter kernel
graphics  filtering  gpu  rendering  pixel 
11 weeks ago by euler

« earlier    

related tags

3d  4cd  active_directory  ad  add-in  advertising  ai  ajax  algorithm  algorithms  along  any  article-13  article  asx  at  attention  autoencoder  awk  axis  azure  bartok  beekeeping  beeswax  behaviour  bfs  bias  blacklist  blacklists  blocking  bpf  bubbles  carrnicholas  censorship  chinese  cilium  classification  climatechange  code  cognition  collaborative-filtering  collaborative  columns  communication  complacency  component  connect  consciousness  content-id  content  content_moderation  control  convolution  copyfight  copyright-filtering  copyright  curation  cybersafety  data  datatable  dc:creator=strosscharles  dc:creator=tufekcizeynep  dc:creator=wellermartin  dctagged  deep-learning  democracy  depression  determine  development  devops  digital_curation  digital_ethics  digital_labor  documentation  dystopia  e2guardian  ebpt  edward_snowden  email  emotion  estimation  ethics  ethics_of_algorithms  eu  europe  evaluate  evolution  excommerce  expression  expressions  extremism  facebook  fail  familyzone  fast.ai  feeds  filter  filters  firefox  firewall  foe  gdpr  geography  ggplot  github  glsl  go  golang  google  googlesheets  gpu  graphics  grid  groups  guide  hashtag  hate_speech  hatred  history  housing  howto  image  implementation  important  index  indexing  information  interactive  internet  ip  iptables  iran  isotope  isv  javascript  jit  js  kdtree  kernel  kubernetes  language  laravel  laravel5  least  legal  library  line  linking  linux  list  mail  margarita  matching  math  maths  meaning  media  migration  mipmapping  misinformation  moderation  monitoring  morphogenesis  movie  movies  mp3  music  mx  nationalism  network  networking  news  nlp  nod32  npm  office365  one  ordering  organisation  osx  outlook  packet-filter  pagination  pandas  parsing  pattern  pavel_durov  perception  performance  phone  php  pixel  pixelart  plugin  policing  politics  postfix  powershell  processing  productivity  programming  project  protection  provider  psych  public-domain  puccini  python  python2.7  ranking  react  reactiondiffusion  recommendations  recommender_systems  recsys  redux  reference  regex  regular  regularexpressions  rendering  repeat  reporting  repository  reputation  resources  row  rp_filter  rtree  rules  saas  safety  schubert  sdf  search  searching  security  sed  self  server  shader  shiny  side  sieve  signalprocessing  sns  social  socialmedia  socialnetworks  society  software  spam  spatial  speed  spreadsheets  ssl  stupidity  surveillance  swift  symbolism  table  technologicaldeterminism  technology  telegram  text  texture  texturesynthesis  tile  tiling  tip  tips  tolearn  tools  tor  toread  totry  tounderstand  trick  true  trust  truth  turing  tutorial  ugc  ui  umatrix  unified_groups  upload-filter  value  virtualreality  vlan  vue  vue2  vuejs  wagner  web  websites  whitelist  whitesupremacism  wordpress  work  xenophobia  youtube 

Copy this bookmark:



description:


tags: