Category Archives: Cloud Text Experiments

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A Dearth of Dissidents

My bot – “Rhyme and Punishment” (@Crimeaandpun – political pun intended) and the hashtag is #Dissident –  posts verse from dissident poets every 15 minutes. What is currently operating is a very imperfect and incomplete version of what I’d like to do.* My hope was to create a bot that, in addition to tweeting poetry, would retweet and also respond to other people’s tweets that included trigger words and/or the same hashtag. But I had so many technical difficulties getting this project up that I scaled back that idea and cheated by signing my account up for a free service that re-tweets posts that have a common hashtag (#Dissident). I picked this hashtag because I assumed it would be fairly common these days. I chose poetry in translation by a Russian writer from the early 20th C, Marina Tsvetaeva (who was anti-Bolshevik), two contemporary Syrian poets, Amira Abul Husn and Housam Al-Mosilli, and a Chinese poet, Liu Xia (who is married to dissident Liu Xiaobo).  The  face of Rhyme and Punishment is Vladimir Putin. It all seems a bit pretentious, I know, but I wanted to see what it would look like if I threw together writers who are or were persecuted by their respective governments for their politics with a contemporary political figure who has a reputation for doing just that, and who is widely condemned by most advocates of democracy (with the exception of our president-elect).

The other thing I did was have my bot follow a few organizations and media outlets that are popular with some of the more Right-leaning and/or Trumpian contingent on Twitter: the CIA, the FBI, Homeland Security, Ann Coulter, several Tea Party groups, the Daily Caller, Breitbart News, and even the Grand Old Party, which seems relatively benign among these others. Most of these are entities are what I would personally consider on the “despotic” end of the ideological spectrum, and I wanted to see how many followers Rhyme and Punishment could attract from this pool of Twitterers. So far, four – all of which I am sure are bot-driven themselves, in order to attract more followers. (If they were individuals they would probably notice that R&P is not their political cup of tea.) So you could say that R&P is baiting a certain Twitter demographic as an adjunct to this experiment – what affinities trigger which followers?

Keeping a search open for all tweets with the hashtag #Dissident, as well as account names that include the word Dissident, yields surprising results. In the past three days, my bot has tweeted more of its own material with the hashtag than any other account on Twitter. I did not expect that. The poetry includes the hashtag at the end of every sentence, not every line, in order to create some discontinuity in the results of such a search. I reset my tweets 15 minutes apart so that other #Dissident tweets would be more frequently interspersed. But even reset 30 or 45+ minutes apart, there has been no significant increase. Why is this such an unpopular hashtag at a time like this? It’s interesting, nevertheless, to see what else is tweeted, and from which countries. Some of the tweets are ads. Most of the others are not from the U.S. I wonder, of course, if anyone has done a similar search and discovered Vladimir’s tweets, but so far no one has responded. I would say that this experiment has yielded very mixed results. Then again, I didn’t approach it with any assumptions about what would happen.

* I struggled with a very long time on my own — too long — to get a Twitterbot script to work before I was able to sit down with a Digital Fellow (fortunately, bot-expert Patrick Smyth) and get some help. (Greg had also offered some suggestions via email, but I didn’t have any luck.) Even with Patrick’s help, I spent hours afterward working on it.  I won’t lie – the whole process has been extremely frustrating, not to mention distressingly time-consuming given everything else I have going on in my life. However, creating Twitterbots with more sophisticated functions is something that I’d like to continue doing from time to time, once I can master the coding.

Cloud Text Experiment: @MakamisaBot

Twitterbot: @MakamisaBot

I decided to try my hand at building and experimenting with a Twitterbot on a dedicated Twitter handle since I had completed Patrick Smyth’s API workshop once before.

I had intended to use @MakamisaBot as a tool for broadcasting news or reactions from Filipinos and Filipino Americans during the Duterte presidency, a timely experiment considering what happened last week (http://www.rappler.com/newsbreak/iq/151667-timeline-ferdinand-marcos-burial-controversy). I had done a preliminary scrape on Twitter using Patrick’s script for #MarcosBurial, but didn’t try to retweet anything:

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I worried about participating in a discussion where a language barrier could pose a problem since tweets would be a mix of English and Tagalog.  I will probably continue to tinker with this idea if it could be of some use, creative or otherwise. I’ve instead started using the tutorial below on making a Twitterbot with Python to play around with @MakamisaBot and text files from Project Gutenberg.

Make a Twitter Bot in Python: Iterative Code Examples

Makamisa (meaning “after mass”) is believed to be Jose Rizal’s third, unfinished novel. Jose Rizal is considered a national hero in the Philippines – his literary work at the end of Spanish occupation in the late 1800s influenced Filipino resistance and he was ultimately executed by firing squad for his writings on December 30, 1896. Rizal’s novels were originally written in Spanish, then translated to Tagalog and English. They are part of the public domain and I chopped them up to use for my project. Makamisa’s manuscript ends abruptly with: “Although it was rumored that aunt Anday received slaps on her face, they still do not [have]” (translated in English). If I could get the script to work, I’d be interested in producing similarly unfinished sentences using available text from his preceding novels, Noli Me Tángere and El Filibusterismo.