Practising Programming in C

• Tackling sourcelessness, e.g. this tweet
• Providing peripheral vision, e.g. this tweet
• Record history of...
  • Message edits / deletions
    Deletions themselves only hiding the message from the public. It still exists for the author / admins to view
  • Profile changes – e.g. avatars, names, descriptions – assuming we have profiles at all, which we may not
    This was prompted by the Tory press office rebranding itself on Twitter
• Contexts
  • Language
  • Temporal
• Referencing...
  • Subsections of messages
  • Multiple (subsections of) messages at once
  • A set version of messages, defaulting to the version current at the time of writing the present message
  • Profile description(?)
  • Specifying which subsection(s) of our message applies the reference
  • Application of references after the fact, by anyone, perhaps with the consent of the writer and referee
  • Description of reference, e.g. direct Q&A, acknowledgement, restatement, directing attention
  • Displaying referenced message inline, especially if external to our system
  • Highlighting of key points within reference
  • A kind of specificity "score" that readers may give to mark "the extent to which the specificity of the reference aligns with the (subsection of the) message's content", inspired by this question from Jenny Andrew
• Analysis of message while composing, and auto-searching existing messages for a possible reference
• Split view: user defined / auto, to view searched messages
• Truthfulness report for existing messages, inspired by this advocacy of Joan Donovan
  • Indicator, possibly traffic lights-style, e.g. unverified, verified true and verified untrue
  • Measure of the amount of "run-off" or work that has gone into verifying / debunking the message
• Description of behaviour (ongoing analysis required)
  1. Purposes
     1. Aid moderation
     2. Clue people in to the kinds of messages and people they're engaging with

        A sub-purpose of this one is to try and let people assume better (than the worst) about "strangers".

  2. Possible approaches
     • Compute the proportion of Nouns, Verbs, Adjectives and Adverbs, to see how messages correlate with genres
     • Analyse mood, i.e. imperative, interrogative or declarative
     • Word embedding (maybe?)
  3. Contexts, from most local to most global
     • message-local, possibly subdivided into smaller linguistic units
     • messages that reference and are referenced by the local message
     • conversation-wide
       Noting that conversations themselves may require some work to delineate, if referencing is used as extensively as we intend
     • entire profile's output
     • entire profiles' output of all in conversation
     • entire community's output
• Categorisation, automatically suggested once possible (e.g. above some confidence level)
• Maybe some sort of permissions, e.g. groups of users able to edit the same message
• Refer people to messages, without having to emit a full-blown message yourself
• Schedule for later, from this post by Elsie

This article makes points that we aim to address (from this tweet)

• Brexit-specific version
  • EU compatibility of legislation: could it have been legislated without Brexit?
  • Brexit-promise compatibility of development: did Vote Leave campaign promise it?
  • Impact assessment – is it a net gain / loss for the people directly involved or, say, 95% of the population – and could Brexit be plausibly credited / blamed for this impact?
  • From Margaery Gerrard (tweet): "Why don't we identify key success criteria? Not many, maybe 6 factors that can provide a measure of how successful brexit is in improving
    1. the economy
    2. health and welfare of citizens"