Tracking Anonymous Wikipedia Edits From Specific IP Ranges

Via @davewiner’s blog, I spotted a link to @congressedits, “a bot that tweets anonymous Wikipedia edits that are made from IP addresses in the US Congress”. (For more info, see why @congressedits?, /via @ostephens.) I didn’t follow the link to the home page for that account (doh!), but in response to a question about whether white label code was available, @superglaze pointed me to, a script that “will watch Wikipedia for edits from a set of named IP ranges and will tweet when it notices one”.

It turns out the script was inspired by @parliamentedits, a bot built by @tomscott that “tracks edits to Wikipedia made from Parliamentary IP addresses” built using IFTT and possibly a list of IP ranges operated by the House of Commons gleaned from this FOI request?


My immediate thought was set up something to track edits made to Wikipedia from OU IP addresses, then idly wondered if set of feeds for tracking edits from HEIs in general might also be useful (something to add to the UK University Web Observatory for example?)

To the extent that Wikipedia represents an authoritative source of information, for some definition of authoritative(?!), it could be interesting to track the “impact” of our foolish universities in terms of contributing to the sum of of human knowledge as represented by Wikipedia.

It’d also be interesting to track the sorts of edits made from anonymous and named editors from HEI IP ranges. I wonder what classes they may fall into?

  1. edits from the marketing and comms folk?
  2. ego and peer ego edits, eg from academics keeping the web pages of other academics in their field up to date?
  3. research topic edits – academics maintaining pages that relate to their research areas or areas of scholarly interest?
  4. teaching topic edits – academics maintaining pages that relate to their teaching activities?
  5. library edits – edits made from the library?
  6. student edits – edits made by students as part of a course?
  7. “personal” edits – edits made by folk who class themselves and Wikimedians in general and just happen to make edits while they are on an HEI network?

My second thought was to wonder to what extent might news and media organisations be maintaining – or tweaking – Wikipedia pages? The BBC, for example, who have made widespread use of Wikipedia in their Linked Data driven music and wildlife pages.

Hmmm… news.. reminds me: wasn’t a civil servant who made abusive edits to a Wikipedia page sacked recently? Ah, yes: Civil servant fired after Telegraph investigation into Hillsborough Wikipedia slurs, as my OU colleague Andrew Smith suggested might happen.

Or how about other cultural organisations – museums and galleries for example?

Or charities?

Or particular brands? Hmm…

So I wonder: could we try to identify areas of expertise on, or attempted/potential influence over, particular topics by doing reverse IP lookups from pages focussed on those topics? This sort of mapping activity pivots the idea of visualising related entries in Wikipedia to map IP ranges, and perhaps from that locations and individuals associated with maintaining a set of resources around a particular topic area (cf. Visualising Delicious Tag Communities).

I think I started looking at how we might start to map IP ranges for organisations once….? Erm… maybe not, actually: it was looking up domains a company owned from its nameservers.

Hmm.. thinks… webstats show IP ranges of incoming requests – can we create maps from those? In fact, are there maps/indexes that give IP ranges for eg companies or universities?

I’m rambling again…

PS Related: Repository Googalytics – Visits from HEIs which briefly reviews the idea of tracking visits to HEI repositories from other HEIs…

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