153 Matching Annotations
  1. Last 7 days
    1. «Νομίζω ότι είναι καιρός για τον λαό και τις ελίτ της Γερμανίας», δήλωσε προ ημερών σε συνέντευξή του στην Deutsche Welle o Παλαιστίνιος αναλυτής Αλί Αμπουνιμάχ, «να σταματήσουν να τιμωρούν τα παιδιά στη Λωρίδα της Γάζας για τα εγκλήματα που πραγματοποίησαν οι ίδιοι εναντίον των Εβραίων της Ευρώπης». Το αποτέλεσμα ήταν ότι ο σταθμός απολογήθηκε στους τηλεθεατές γιατί του έδωσε τον λόγο και διέγραψε τη συνέντευξη.
    1. According to Kerr, Dorrian, who presided over both Salmond’s trial and Murray’s contempt of court proceedings, “has led the campaign to get rid of juries in the cases of sex offenses in Scotland.”

      Dorisn is the judge that persuaded both Alex's and Murray's trials!

    2. “As with many of the articles with which these proceedings are concerned, the respondent does not merely identify information, put the material before the public, and ask questions arising from it. He acts as arbiter, presenting the matter on the basis that his belief, opinions and interpretation of the information, assuming that is the right word to use, is “the full truth,”” the judges noted in their opinion [PDF] on March 25.
  2. May 2021
    1. Offense, insult, and hurt feelings are not particularly important

      Not only is it not important, you do not have the right to be offended.

      See here (Salman Rushdie), here (John Cleese), here (Jordan Petersen), here (Stephen Fry), and...well, you get the point.

    1. Το 2017 πάρθηκε μια στρατηγική απόφαση και είναι δηλωμένη επιλογή του Ζούκερμπεργκ να μειώσει στην πλατφόρμα τον χώρο όπου διενεργείται πολιτική συζήτηση γιατί μια τέτοια δραστηριότητα δεν είναι ιδιαίτερα επικερδής αλλά δημιουργεί προβλήματα στην εταιρεία.

      Unfair: limiting political talk means that only mainstream players are allowed to disseminate political messages.

    2. Η Facebook φορολογείται στην Ιρλανδία, αλλά κάνει μπίζνες με τις διαφημίσεις χωριστά σε κάθε χώρα.

      The 1st step to check Facebook is to demand to be taxed wherever its ads are shown.

  3. Apr 2021
    1. Μια σειρά δημοσιευμάτων έδειχναν πως οι λογοκριτές δεν ήταν άλλοι από τους υπαλλήλους της Teleperformance, της εταιρείας που, όπως είχε αποκαλύψει η «Εφ.Συν.» σε συνεργασία με το Investigate Europe και το Reporters United (30/4/2020), ανέλαβε εν κρυπτώ τη διαχείριση της γραμμής του ΕΟΔΥ για τον κορονοϊό («Η μυστική συνεργασία ΕΟΔΥ - Teleperformance και τα 6 σκοτεινά σημεία της»).

      Πόσοι γνωρίζουν ότι η εταιρεία που λογοκρίνει το ελληνικό Facebook έχει ολοκληρωθεί από την ελληνική Κυβέρνηση?

    1. Yet our investigation revealed that YouTube blocked advertisers’ ability to find social justice content, potentially restricting ad revenue for those YouTubers.

      Check the gif from the Google-Ads blocking #BLM, but not "all lives matter"!

    1. Το ότι αποτελούν αντικείμενο ρύθμισης δεν είναι κάποια ριζοσπαστική θέση, είναι η θέση που έχει εκφράσει στο κογκρέσο των ΗΠΑ ο ιδρυτής  και ιδιοκτήτης του Fb Mark Zuckerberg: «Η θέση μου δεν είναι ότι δεν πρέπει να υπάρχει ρύθμιση. Πιστεύω ότι το πραγματικό ερώτημα, καθώς το διαδίκτυο γίνεται ολοένα και πιο σημαντικό για τις ζωές των ανθρώπων, είναι ποιος είναι ο σωστός τρόπος ρύθμισης, και όχι αν είναι απαραίτητο να υπάρχει ρύθμιση»

      Τσακαλώτος στα καλύτερά του, επιχειρηματολογέι εναντια στην ιδεολογία της ιδιώτευσης στο Fb.

    1. “child-directed” or “caretaker” speech.

      Child-directed speech (CDS) refers to speech from a caregiver directed towards a child, as opposed to overheard speech - for example "Is lil'timmy ready for a nappy wappy?" Speech acquisition in children is an area of particular interest for linguists because it has significant implications for later childhood development and socialization. This article is not directly concerned with language acquisition, but rather the sense of forced infantilization that users of many major applications such as Venmo or Yelp feel is being imposed on them. Still, this is an interesting way to frame the topic of app design and the implications it has for the relationship between users and companies.

      Source: Shneidman, Laura A., and Meadow, Susan Goldin. “Language Input and Acquisition in a Mayan Village: How Important Is Directed Speech?” Developmental Science 15, no. 5 (September 2012): 659–73. doi:10.1111/j.1467-7687.2012.01168.x.

  4. Mar 2021
    1. Βλέποντας τις μεγάλες ιδιωτικές πλατφόρμες (φατσοβιβλία κ.λπ.) στις μέρες μας, αντιλαμβανόμαστε ότι δεν διαμορφώθηκε απολύτως καμία αθηναϊκή αγορά (το ιδανικό), αλλά ενισχύθηκε απεριόριστα το «Ολα για την κυκλοφορία» (η πραγματικότητα).
    1. One person writing a tweet would still qualify for free-speech protections—but a million bot accounts pretending to be real people and distorting debate in the public square would not.

      Do bots have or deserve the right to not only free speech, but free reach?

    1. restrictions on free speech

      Restrictions of free speech on the internet occur in the US and are not limited to the examples provided here. Have you encountered, experienced or read about restrictions on internet based speech lately? Examples

    1. In those wretched countries where a man cannot call his tongue his own, he can scarce call anything his own. Whoever would overthrow the liberty of a nation must begin by subduing the freeness of speech ... Without freedom of thought there can be no such thing as wisdom, and no such thing as public liberty without freedom of speech, which is the right of every man ...

      It’s interesting to see this being debated today with the fight over freedom of speech in social media. You could argue that social media is today’s version of the earlier pamphlets.

    1. Αναλυτικοτερη απαντηση του Fb για τα κοωιματα των άρθρων και φραγες σε λογαριασμούς.

      ΔΕΝ ΔΟΥΛΕΥΟΥΝ τα annotations :-(

    1. Lori Morimoto, a fandom academic who was involved in the earlier discussion, didn’t mince words about the inherent hypocrisy of the controversy around STWW. “The discussions of the fic were absolutely riddled with people saying they wished you could block and/or ban certain users and fics on AO3 altogether because this is obnoxious,” she wrote to me in an email, “and nowhere (that I can see) is there anyone chiming in to say, ‘BUT FREE SPEECH!!!’” Morimoto continued: But when people suggest the same thing based on racist works and users, suddenly everything is about freedom of speech and how banning is bad. When it’s about racism, every apologist under the sun puts in an appearance to fight for our rights to be racist assholes, but if it’s about making the reading experience less enjoyable (which is basically what this is — it’s obnoxious, but not particularly harmful except to other works’ ability to be seen), then suddenly our overwhelming concern with free speech seems to just disappear in a poof of nothingness.

      This is an interesting example of people papering around allowing racism in favor of free speech.

    1. Careful wording by Fb to evade criticism for en-mass censorship on greek users, some of them, journalists covering demos for Koufontinas.

  5. Feb 2021
    1. Ries suspected Voulgarakis of the leak. Calling him “a less reliable ally,” Ries said Voulgarakis “has allowed rumors to circulate that the U.S. is behind [the] major eavesdropping case in Greece.”

      Ο Βουλγαρακης δεν τα'χε καλα με τους Αμερικανους.

    2. Minister of Public Order George Voulgarakis and several other officials finally held a televised press conference in February 2006.

      Ο Βουλγράκης ανελαβε την παρουσίαση του σκανδάλου στα ΜΜΕ.

    1. απαγορεύουμε σε μέλη τρομοκρατικών οργανώσεων, όπως ο κ. Κουφοντίνας, να χρησιμοποιούν τις πλατφόρμες μας, καθώς επίσης, αποκλείουμε δημοσιεύσεις που επιδοκιμάζουν ή υποστηρίζουν αυτά τα άτομα και τις ενέργειές τους κάθε φορά που λαμβάνουμε σχετική γνώση.

      Στην απάντησης της Fb δεν αναφέρεται καμία εξαίρεση για ιστορικούς, δικηγόρους, fair use, απλή φίμωση.

    1. “It’s just unfortunate that these are the circumstances that we’re talking about Mastodon again,” he tells me. “I would much prefer it was something specifically about Mastodon. Rather than, you know, Gab.”

      Rochko (mastodon creator) said that at the closing of the interview.

  6. Jan 2021
    1. n the mid-1920s, he had speech therapy for a stammer, which he learned to manage to some degree.
  7. Oct 2020
    1. usually overwhelmed by misconceptions (the charitable interpretation) or lies and propaganda (the more accurate one). Some of the most prominent politicians in the country — notably Senator Ted Cruz — routinely lie to the public about what the law says and how courts have interpreted it.

      LOLGOP

    1. This is the story of how Facebook tried and failed at moderating content. The article cites many sources (employees) that were tasked with flagging posts according to platform policies. Things started to be complicated when high-profile people (such as Trump) started posting hate speech on his profile.

      Moderators have no way of getting honest remarks from Facebook. Moreover, they are badly treated and exploited.

      The article cites examples from different countries, not only the US, including extreme right groups in the UK, Bolsonaro in Brazil, the massacre in Myanmar, and more.

      In the end, the only thing that changes Facebook behavior is bad press.

    1. Many of the book’s essayists defend freedom of expression over freedom from obscenity. Says Rabbi Arthur Lelyveld (father of Joseph, who would become executive editor of The New York Times): “Freedom of expression, if it is to be meaningful at all, must include freedom for ‘that which we loathe,’ for it is obvious that it is no great virtue and presents no great difficulty for one to accord freedom to what we approve or to that to which we are indifferent.” I hear too few voices today defending speech of which they disapprove.

      I might take issue with this statement and possibly a piece of Jarvis' argument here. I agree that it's moral panic that there could be such a thing as "too much speech" because humans have a hard limit for how much they can individually consume.

      The issue I see is that while anyone can say almost anything, the problem becomes when a handful of monopolistic players like Facebook or YouTube can use algorithms to programattically entice people to click on and consume fringe content in mass quantities and that subtly, but assuredly nudges the populace and electorate in an unnatural direction. Most of the history of human society and interaction has long tended toward a centralizing consensus in which we can manage to cohere. The large scale effects of algorithmic-based companies putting a heavy hand on the scales are sure to create unintended consequences and they're able to do it at scales that the Johnson and Nixon administrations only wish they had access to.

      If we look at as an analogy to the evolution of weaponry, I might suggest we've just passed the border of single shot handguns and into the era of machine guns. What is society to do when the next evolution occurs into the era of social media atomic weapons?

    1. Refusing advertising is refusing to privilege moneyed speech. The increasing equation of money with speech—that is, those with the most money can be the loudest and most persistent voices in contemporary media—is denied when advertising is refused.
  8. Sep 2020
  9. Jul 2020
    1. Defamation law walks a fine line between the right to freedom of speech and the right of a person to avoid defamation. On one hand, a reasonable person should have free speech to talk about their experiences in a truthful manner without fear of a lawsuit if they say something mean, but true, about someone else. On the other hand, people have a right to not have false statements made that will damage their reputation.
    1. when some listeners hear poets read with one or more of these characteristics—slow pitch speed, slow pitch acceleration, narrow pitch range, low rhythmic complexity, and/or slow speaking rate—they hear Poet Voice.”
  10. Jun 2020
    1. Just as journalists should be able to write about anything they want, comedians should be able to do the same and tell jokes about anything they please

      where's the line though? every output generates a feedback loop with the hivemind, turning into input to ourselves with our cracking, overwhelmed, filters

      it's unrealistic to wish everyone to see jokes are jokes, to rely on journalists to generate unbiased facts, and politicians as self serving leeches, err that's my bias speaking

    1. Such is the security of this architecture, that it has prompted law enforcement agencies around the world to complain that they now cannot access a user’s messages, even with a warrant. There is no backdoor—the only option is to compromise one of the endpoints and access messages in their decrypted state.
  11. May 2020
  12. Apr 2020
    1. Python contributed examples¶ Mic VAD Streaming¶ This example demonstrates getting audio from microphone, running Voice-Activity-Detection and then outputting text. Full source code available on https://github.com/mozilla/DeepSpeech-examples. VAD Transcriber¶ This example demonstrates VAD-based transcription with both console and graphical interface. Full source code available on https://github.com/mozilla/DeepSpeech-examples.
    1. Python API Usage example Edit on GitHub Python API Usage example¶ Examples are from native_client/python/client.cc. Creating a model instance and loading model¶ 115 ds = Model(args.model) Performing inference¶ 149 150 151 152 153 154 if args.extended: print(metadata_to_string(ds.sttWithMetadata(audio, 1).transcripts[0])) elif args.json: print(metadata_json_output(ds.sttWithMetadata(audio, 3))) else: print(ds.stt(audio)) Full source code
    1. DeepSpeech is an open source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. NOTE: This documentation applies to the 0.7.0 version of DeepSpeech only. Documentation for all versions is published on deepspeech.readthedocs.io. To install and use DeepSpeech all you have to do is: # Create and activate a virtualenv virtualenv -p python3 $HOME/tmp/deepspeech-venv/ source $HOME/tmp/deepspeech-venv/bin/activate # Install DeepSpeech pip3 install deepspeech # Download pre-trained English model files curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.7.0/deepspeech-0.7.0-models.pbmm curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.7.0/deepspeech-0.7.0-models.scorer # Download example audio files curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.7.0/audio-0.7.0.tar.gz tar xvf audio-0.7.0.tar.gz # Transcribe an audio file deepspeech --model deepspeech-0.7.0-models.pbmm --scorer deepspeech-0.7.0-models.scorer --audio audio/2830-3980-0043.wav A pre-trained English model is available for use and can be downloaded using the instructions below. A package with some example audio files is available for download in our release notes.
    1. Library for performing speech recognition, with support for several engines and APIs, online and offline. Speech recognition engine/API support: CMU Sphinx (works offline) Google Speech Recognition Google Cloud Speech API Wit.ai Microsoft Bing Voice Recognition Houndify API IBM Speech to Text Snowboy Hotword Detection (works offline) Quickstart: pip install SpeechRecognition. See the “Installing” section for more details. To quickly try it out, run python -m speech_recognition after installing. Project links: PyPI Source code Issue tracker Library Reference The library reference documents every publicly accessible object in the library. This document is also included under reference/library-reference.rst. See Notes on using PocketSphinx for information about installing languages, compiling PocketSphinx, and building language packs from online resources. This document is also included under reference/pocketsphinx.rst.
    1. Running the example code with python Run like this: cd vosk-api/python/example wget https://github.com/alphacep/kaldi-android-demo/releases/download/2020-01/alphacep-model-android-en-us-0.3.tar.gz tar xf alphacep-model-android-en-us-0.3.tar.gz mv alphacep-model-android-en-us-0.3 model-en python3 ./test_simple.py test.wav To run with your audio file make sure it has proper format - PCM 16khz 16bit mono, otherwise decoding will not work. You can find other examples of using a microphone, decoding with a fixed small vocabulary or speaker identification setup in python/example subfolder
    2. Vosk is a speech recognition toolkit. The best things in Vosk are: Supports 8 languages - English, German, French, Spanish, Portuguese, Chinese, Russian, Vietnamese. More to come. Works offline, even on lightweight devices - Raspberry Pi, Android, iOS Installs with simple pip3 install vosk Portable per-language models are only 50Mb each, but there are much bigger server models available. Provides streaming API for the best user experience (unlike popular speech-recognition python packages) There are bindings for different programming languages, too - java/csharp/javascript etc. Allows quick reconfiguration of vocabulary for best accuracy. Supports speaker identification beside simple speech recognition.
    3. Kaldi API for offline speech recognition on Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
    1. import all the necessary libraries into our notebook. LibROSA and SciPy are the Python libraries used for processing audio signals. import os import librosa #for audio processing import IPython.display as ipd import matplotlib.pyplot as plt import numpy as np from scipy.io import wavfile #for audio processing import warnings warnings.filterwarnings("ignore") view raw modules.py hosted with ❤ by GitHub View the code on <a href="https://gist.github.com/aravindpai/eb40aeca0266e95c128e49823dacaab9">Gist</a>. Data Exploration and Visualization Data Exploration and Visualization helps us to understand the data as well as pre-processing steps in a better way. 
    2. TensorFlow recently released the Speech Commands Datasets. It includes 65,000 one-second long utterances of 30 short words, by thousands of different people. We’ll build a speech recognition system that understands simple spoken commands. You can download the dataset from here.
    3. In the 1980s, the Hidden Markov Model (HMM) was applied to the speech recognition system. HMM is a statistical model which is used to model the problems that involve sequential information. It has a pretty good track record in many real-world applications including speech recognition.  In 2001, Google introduced the Voice Search application that allowed users to search for queries by speaking to the machine.  This was the first voice-enabled application which was very popular among the people. It made the conversation between the people and machines a lot easier.  By 2011, Apple launched Siri that offered a real-time, faster, and easier way to interact with the Apple devices by just using your voice. As of now, Amazon’s Alexa and Google’s Home are the most popular voice command based virtual assistants that are being widely used by consumers across the globe. 
    4. Learn how to Build your own Speech-to-Text Model (using Python) Aravind Pai, July 15, 2019 Login to Bookmark this article (adsbygoogle = window.adsbygoogle || []).push({}); Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP is a coveted one in the industry; add this to your skillset today We will use a real-world dataset and build this speech-to-text model so get ready to use your Python skills!
    1. One can imagine that this whole process may be computationally expensive. In many modern speech recognition systems, neural networks are used to simplify the speech signal using techniques for feature transformation and dimensionality reduction before HMM recognition. Voice activity detectors (VADs) are also used to reduce an audio signal to only the portions that are likely to contain speech. This prevents the recognizer from wasting time analyzing unnecessary parts of the signal.
    2. Most modern speech recognition systems rely on what is known as a Hidden Markov Model (HMM). This approach works on the assumption that a speech signal, when viewed on a short enough timescale (say, ten milliseconds), can be reasonably approximated as a stationary process—that is, a process in which statistical properties do not change over time.
    3. The first component of speech recognition is, of course, speech. Speech must be converted from physical sound to an electrical signal with a microphone, and then to digital data with an analog-to-digital converter. Once digitized, several models can be used to transcribe the audio to text.
    4. How speech recognition works, What packages are available on PyPI; and How to install and use the SpeechRecognition package—a full-featured and easy-to-use Python speech recognition library.
    5. The Ultimate Guide To Speech Recognition With Python
    1. At Brown’s sentencing, Judge Lindsay was quoted as saying “What took place is not going to chill any 1st Amendment expression by Journalists.” But he was so wrong. Brown’s arrest and prosecution had a substantial chilling effect on journalism. Some journalists have simply stopped reporting on hacks from fear of retribution and others who still do are forced to employ extraordinary measures to protect themselves from prosecution.
  13. Mar 2020
    1. While Americans tend to prioritize individual liberty, Europeans are more inclined to value the role of the state. Americans are generally more tolerant of offensive speech than Europeans. That has translated to a greater impetus to regulate tech in Europe.
  14. Jan 2020
    1. McCarthy next asks: “Who selects what is to be recorded or transmitted to others, since not everything can be recorded?” But now, everything can be recorded and transmitted. That is the new fear: too much speech.
  15. Nov 2019
    1. From this perspective, GPT-2 says less about artificial intelligence and more about how human intelligence is constantly looking for, and accepting of, stereotypical narrative genres, and how our mind always wants to make sense of any text it encounters, no matter how odd. Reflecting on that process can be the source of helpful self-awareness—about our past and present views and inclinations—and also, some significant enjoyment as our minds spin stories well beyond the thrown-together words on a page or screen.

      And it's not just happening with text, but it also happens with speech as I've written before: Complexity isn’t a Vice: 10 Word Answers and Doubletalk in Election 2016 In fact, in this mentioned case, looking at transcripts actually helps to reveal that the emperor had no clothes because there's so much missing from the speech that the text doesn't have enough space to fill in the gaps the way the live speech did.

  16. Feb 2019
    1. constantly associating the ideas of articulate sounds

      So those who can speak tend to believe that writing is merely a sign for speech, but both speech and writing are signs for thought.

    2. Cure of those El'ils

      A medicinal model of education. "Hi, I'm Thomas Sheridan. All these dumbasses are hopelessly lost because they don't speak correctly. They'll never do anything good, or see what good is, because bad speech runs rampant. The only hope is to heal them by teaching them to speak well. That is, like me."

    1. Speech and thought arc inseparable, in Vico'., view: They evolve together.

      I would argue that speech, thought, AND writing evolve together.

    2. Speech and thought arc inseparable, in Vico'., view: They evolve together.

      True and not true. I cannot speak a thought to someone else unless I have a word for it. However, I do have thoughts that as yet do not have words. Do we get stuck on thoughts, however, unable to progress onto a successive thought, if the current thought has no name? I don't know, but I think it's an interesting concept to mull over. And, once again, calls to mind the movie Arrival.

    1. Unsupervised speech representation learning using WaveNet autoencoders

      我们通过将自动编码神经网络应用于语音波形来考虑无监督提取有意义的语音潜在表示的任务。目标是学习能够从信号中捕获高级语义内容的表示,例如,音素身份,同时不会混淆信号中的低级细节,例如底层音高轮廓或背景噪音。自动编码器模型的行为取决于应用于潜在表示的约束类型。我们比较了三种变体:简单的降维瓶颈,高斯变分自动编码器(VAE)和离散矢量量化VAE(VQ-VAE)。我们根据说话人的独立性,预测语音内容的能力以及精确重建单个谱图帧的能力来分析学习表征的质量。此外,对于使用VQ-VAE提取的差异编码,我们测量将它们映射到电话的容易程度。我们引入了一种正则化方案,该方案强制表示集中于话语的语音内容,并报告性能与ZeroSpeech 2017无监督声学单元发现任务中的顶级条目相当。 【translated by 谷歌翻译】


      【摘要自机器之心】:

      论文《Unsupervised speech representation learning using WaveNet autoencoders》介绍了通过将自编码神经网络用到语音波形提取语音中有意义的隐藏表征的无监督任务。目的是学习到一种能够捕捉信号中高层次语义内容的表征,同时又能够对有背景噪声或者潜在基频曲线(underlying pitch contour)的信号中的扰乱信息足够稳定。自编码器模型的行为由应用到隐藏表征的约束所决定。在此论文中,作者对比了三种变体:简单降维瓶颈、高斯变分自编码器和离散向量量化VAE。而后,作者对预测语音内容的能力等进行了分析。

  17. Nov 2018
    1. Interpretable Convolutional Filters with SincNet

      一篇值得我高度关注的 paper,来自 AI 三巨头之一 Yoshua Bengio!其背后的核心是将数字信号处理DSP中卷积的激励函数(滤波器)进行了重新设计,不仅会保留了卷积的特性(线性性+时间平移不变性)还在滤波器上添加待学习参数来学习合适的高低频截断位置。

    2. Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks

      这是一篇用 GAN 来做 Voiced Speech Restoration 的,并且使用了作者自己提出的 speech enhancement using GANs (SEGAN) 。

      于我而言,亮点有二:

      1. 数据是时序语音
      2. 利用 GAN 对语音的增强效果似乎对降噪有些启发
      3. 网络结构图画的蛮好看的:

    1. They can spew hate amongst themselves for eternity, but without amplification it won’t thrive.

      This is a key point. Social media and the way it amplifies almost anything for the benefit of clicks towards advertising is one of its most toxic features. Too often the extreme voice draws the most attention instead of being moderated down by more civil and moderate society.

  18. Oct 2018
    1. "I am really pleased to see different sites deciding not to privilege aggressors' speech over their targets'," Phillips said. "That tends to be the default position in so many online 'free speech' debates which suggest that if you restrict aggressors' speech, you're doing a disservice to America—a position that doesn't take into account the fact that antagonistic speech infringes on the speech of those who are silenced by that kind of abuse."
    1. Literary association PEN America has filed a lawsuit against Trump for using government power to harass the press.

  19. Sep 2018
    1. Judas lofted up a word, revealing his courage, and he spoke in Hebrew:

      Judas's prayer in Hebrew. Invokes Scripture: creation, fall of angels

    2. Elene spoke and before those nobles said

      Elene's speech: Hebrew Bible as prophesying Christ

    1. "The ideas of the First Amendment are not designed to deal with what it took to make the materials [of pornography.]" [5:56-5:59]

    2. "The 'freely choosing women'... As if you've raised a freely choosing black person [who decides to 'freely choose'] to clean toilets. That's the equivalent. You call that freedom. It's called freedom when women choose to do it and it's sex because people believe that sex is free. However, pornography is selling yourself for sex. The idea of money is supposed to make it free. Usually, when people have sex with another person and choose to do it, they're not being paid, it's free because you're not being paid. In other words, this is an arm of prostitution." [NOT VERBATIM] [3:53-4:31]

    1. For the longest time, we thought that as speech became more democratized, democracy itself would flourish. As more and more people could broadcast their words and opinions, there would be an ever-fiercer battle of ideas—with truth emerging as the winner, stronger from the fight. But in 2018, it is increasingly clear that more speech can in fact threaten democracy. The glut of information we now face, made possible by digital tools and social media platforms, can bury what is true, greatly elevate and amplify misinformation and distract from what is important.
  20. Aug 2018
  21. Jul 2018
    1. Why didn’t the men begin? What were they waiting for? There they stood, smoothing their gloves, patting their glossy hair and smiling among themselves. Then, quite suddenly, as if they had only just made up their minds that that was what they had to do, the men came gliding over the parquet. There was a joyful flutter among the girls.

      Throughout the story, the narrator figures the men and women as birds participating in courtship/pre-mating dances. Observe the narrator's ornithological language here: the men "glid[e] over the parquet" towards the women, who respond with "a joyful flutter." With part-of-speech tagging, we could zoom in on how the story's syntactical elements (especially verbs and adjectives) create this parallel between social and animal rituals.

    2. And now the landing-stage came out to meet them. Slowly it swam towards the Picton boat,

      This excerpt personifies the "landing-stage" with the verbs "came" and "swam." Where else does this occur in this story? And what does this device imply about the "voyage" that the story recounts? Part-of-speech tagging would allow us to examine when, how, and to what effect(s) objects becoming (grammatical) subjects through personification.

    3. And after all the weather was ideal.

      The story begins with the additive conjunction "and," which already suggests accumulation (and perhaps even festive excess) on a syntactical level. Some part-of-speech tagging and n-grams would allow us to see how often the speaker uses additive conjunctions, and to what effects.

    1. pervasively hostile environment. But merely offensive or bigoted speech does not rise to that level

      uh, yes it does for the person who the hate speech is directed against.

  22. course-computational-literary-analysis.netlify.com course-computational-literary-analysis.netlify.com
    1. My diary informs me

      This is an interesting reversal of typical subject-object relations. The diary, which is an object, is grammatically positioned as an informative agent, while Miss Clack, a person, becomes an object that is acted upon. Some part-of-speech tagging in scenes that feature document evidence would help us to better understand when and why this happens, and why it might be significant.

  23. Apr 2018
  24. Mar 2018
    1. Last month at Portland State University, when biologist Heather Heying made the point that women and men are biologically different, protesters in the audience screamed and excoriated her and tried to damage the sound system before they were removed. “We should not listen to fascism. Nazis are not welcome in civil society,” a protester scowled.

      The belief that sexism is at the root of fascism, although well founded, causes hyperactivists to censor scientists.

  25. Feb 2018
    1. “These are unprecedented, brazen acts of censorship by a corporate monopoly that controls a primary channel of public communication,” said Nehlen, who’s running against Ryan in the GOP congressional primaries in Wisconsin. “It has severely compromised the integrity of our election processes, and Congress needs to hold public hearings and conduct a full investigation into these matters without delay.”

      This language is ripe for studying.

    1. desde esta perspectiva las organizaciones constituyen conversaciones para la acción. Hay un cierto grado de recurrencia y formalización en estas conversaciones, que Winograd y Flores (1986) caracterizan en términos de actos lingüísticos distintivos. Las organizaciones son redes de compromisos que operan a través de actos lingüísticos, como las promesas y

      las peticiones. [...] En última instancia la característica central de las organizaciones y su diseño es el desarrollo de competencias comunicativas en un ámbito abierto para la interpretación, de manera que los compromisos sean transparentes

      [...] Una parte importante del marco de Winograd y Flores es el desarrollo de un enfoque lingüístico para el trabajo de las organizaciones sobre la base de ‘directivas’ (pedidos, solicitudes, consultas y ofertas) y ‘comisiones’ (promesas, aceptaciones y rechazos). En la década de 1980 Flores desarrolló un software para organizaciones, llamado El coordinador, basado en la idea de que las organizaciones son redes de compromisos que operan en el lenguaje. Véanse Winograd y Flores (1986, capítulos 5 y 11) y Flores y Flores (2013). Su objetivo era “hacer las interacciones transparentes [...] en el dominio de las conversaciones para la acción”

      La interacción entre organizaciones institucionalizadas y conviviales está ocurriendo para casos del hacktivismo en términos de peticiones (derechos de petición, entradas al blog) y promesas (hackatones, respuestas, proyectos).

      Una de las preguntas actuales es cómo hacer que las dinámicas de gobernanza propias de las organizaciones conviviales puedan ser coherentes y escalables a nivel barrio o ciudad. Qué infraestructuras favorecerían dichas posibilidades de acuerdos transparentes en red.

      Interesante reencontrar el software de Windograd y Flores y revisar cómo se adecuan o no a sistemas como wikis y repositorios de código y cómo el diálogo entre ellos podría alentar estas ideas de software para acciones transparentes.

  26. Nov 2017
    1. Itisreallyimportanttoconsiderthemasspeechactsandaskwhatclaimstheybringintobeinginorbymakingdeclarationsaboutrights.ItiseasytodismissthesedeclarationsthattheInternethasoccasioned,buttheyalsobegexamination.Somedismissthemfortheirostensibleineffectiveness,butthisisunderstoodintermsofconstativeratherthanperformativeeffects.Thequestionwe’dratheraskiswhat,ifany,imaginaryandperformativeifnotlegalforcedotheyhave?

      Esto me recuerda la intensión de escribir manifiestos en mu ypocas JSL, a la que yo me opuse, quizás por su percibida inefectividad con respecto a actos más performativos y enactivos. Quiźas me faltó entenderlo en esos mismos términos en lugar de como actos púramente enunciativos.

    2. OneaspectofhackerculturethatColemanhighlightsistheslogan‘codeisspeech’.[46]CodeisindeedthelanguageoftheInternet.Butisitspeech?FollowingAustin,wearguethatthroughspeechactswedosomethinginorbysayingsomething.Similarly,wewouldarguethatprogrammersaredoingsomethinginorbycodingsomething.Yet,toarticulatethismoreprecisely,codeisnotspeech:itisalanguageinorbywhichspeechactsareperformed.Justasinhumanlanguages,thedecisivethingsherearenotonlythelinguisticconventionsthatanimatespeechactsbutalsothesocialconventionsthattheybringabout

    Tags

    Annotators

    1. “free” as in “free and unfettered markets”
    2. Everyone has a right to free speech, but in practice many individuals have very little access to free speech. When we try to address this on platforms, by clamping down on things like harassment or bots, it’s portrayed as “curtailing” free speech, in the same way that making the rich pay more tax or follow regulations is seen by conservatives as “curtailing” economic opportunity.

  27. Oct 2017
    1. Tounderstanddigitalactswehavetounderstandspeechactsorspeechthatacts.Thespeechthatactsmeansnotonlythatinorbysayingsomethingwearedoingsomethingbutalsothatinorbydoingsomethingwearesayingsomething.ItisinthissensethatwehaveargueddigitalactsaredifferentfromspeechactsonlyinsofarastheconventionstheyrepeatanditerateandconventionsthattheyresignifyareconventionsthataremadepossiblethroughtheInternet.Ultimately,digitalactsresignifyquestionsofanonymity,extensity,traceability,andvelocityinpoliticalways.
    2. Theimportantthingistoseparateacts(locutionary,illocutionary

      The important thing is to separate acts (locutionary, illocutionary, perlocutionary), forces (legal, performative, imaginary), conventions, actions, bodies, and spaces that their relations produce.

    3. Itiswellnighimpossibletomakedigitalutteranceswithoutatrace;onthecontrary,oftentheforceofadigitalspeechactdrawsitsstrengthfromthetracesthatitleaves.Aswesaidinchapter2,eachofthesequestionsraisedbydigitalactscanarguablybefoundinothertechnologiesofspeechacts—thetelegraph,megaphone,radio,andtelephonecometomindimmediately.Butitiswhentakentogetherthatwethinkdigitalactsresignifythesequestionsandcombinetomakethemdistinctfromspeechacts,intermsofboththeconventionsbywhichtheybecomepossibleandtheeffectsthattheyproduce.
    4. ‘codeistheonlylanguagethatisexecutable.’[49]‘So[forGalloway]codeisthefirstlanguagethatactuallydoeswhatitsays—itisamachineforconvertingmeaningintoaction.’[50]WithAustin(andWittgenstein),thisconclusioncomesasamajorsurprisetous.Aswehavearguedinthischapter,forAustin(andWittgenstein)languageisanactivity,andinorbysayingsomethinginlanguagewedosomethingwithit—weact.Toputitdifferently,languageisexecutable.[51]Thereisnouniquenesstocodeinthatregard,althoughwhilecodeislikelanguage,itisdifferent.WethinkthatdifferenceistobesoughtinitseffectsandtheconventionsitcreatesthroughtheInternetratherthaninitsostensibleuniquenature

      El lenguaje es ejecutable!

    5. ThepremiseofthisbookisthatthecitizensubjectactingthroughtheInternetisthedigitalcitizenandthatthisisanewsubjectofpoliticswhoalsoactsthroughnewconventionsthatnotonlyinvolvedoingthingswithwordsbutdoingwordswiththings.
    6. Thekeyissueinspeechactsbecomeswhether,andifsotowhatextent,whatissayableanddoablefollowsorexceedssocialconventionsthatgovernasituation.
    7. Byadvancingtheideathatspeechisnotonlyadescription(constative)butalsoanact(performative),Austinushersinaradicallydifferentwayofthinkingaboutnotonlyspeakingandwritingbutalsodoingthingsinorbyspeakingandwriting.
    8. butbodiesandtheirmovementsareimplicitinspeechthatacts.
    9. Toputitdifferently,Austin’sconcernwithinfelicitousisnotaregretonhispartbutarecognitionthatspeechdoesnotonlyact,italsocanfailtoactorfailtoactinwaysanticipated.
    10. Bysayingsomething,Ihaveaccomplishedsomething.Thus,‘of’sayingsomethinghasmeaning(locutionaryacts),whereas‘in’or‘by’sayingsomethinghasforce(illocutionaryandperlocutionaryacts).
    1. The abuse is the free speech issue. Kicking Nazis off of Twitter reduces the platform of a small number of people who are using that platform to terrify and silence others. Leaving them on suppresses, in all meaningful terms, the voices of entire classes of female intellectuals, people of color, and any other subgroup the mob decides to turn it spotlight towards when that subgroup gets a little too uppity.

  28. Aug 2017
    1. The request from the DOJ demands that DreamHost hand over 1.3 million visitor IP addresses — in addition to contact information, email content, and photos of thousands of people — in an effort to determine who simply visited the website. (Our customer has also been notified of the pending warrant on the account.)

      That information could be used to identify any individuals who used this site to exercise and express political speech protected under the Constitution’s First Amendment. That should be enough to set alarm bells off in anyone’s mind.