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The bot's task would be to add the proper attribution wording to the article history. Input to the bot would be a page containing a list of articles, where each article would be accompanied by one required parameter identifying the source of the copy or translation.
Once the bot has been approved and given its bot flag permission, one can add "bot=True" to the API call - see mw:API:Edit#Parameters in order to hide the bot's edits in Special:RecentChanges. In Python, using either mwclient or wikitools, then adding bot=True to the edit/save command will set the edit as a bot edit - e.g. PageObject.edit(text ...
The summary text has been slightly modified to append some sort of bot id. I have proposed (by AttriBot) but feel free to place anything there that will somehow identify it. Later, if/when a bot is approved, we should also link the id to the bot landing page. Maybe a third thing, regarding the words Dummy edit in the summary.
Already has a bot flag (Yes/No): Yes Function details: This bot modifies the results sections of Indian Lok Sabha/assembly constituencies. It takes the 'Results' section and for the most recent two elections with published data it adds in all candidates with vote percentages above 0.9% and removing candidates with vote percentages under 0.9%.
Any edit lacking attribution may be removed, and the final burden of evidence lies with the editor wishing to add or retain the material. However, this policy should not be used to cause disruption by removing material for which reliable sources could easily or reasonably be found—except in the case of contentious material about living ...
Additionally, there are many different types of attribution biases, such as the ultimate attribution error, fundamental attribution error, actor-observer bias, and hostile attribution bias. Each of these biases describes a specific tendency that people exhibit when reasoning about the cause of different behaviors. [3]
Discord pointed to its processes for users with high visibility and longstanding business relationships with the company for reserving a username under the new system. The old discriminator-oriented system also mitigated the rush to get unique usernames for sale on the black market , leading to swatting and online harassment .
Since situations are undeniably complex and are of different "strengths", this will interact with an individual's disposition and determine what kind of attribution is made; although some amount of attribution can consistently be allocated to disposition, the way in which this is balanced with situational attribution will be dependent on the ...