#KARHUTLA
#KARHUTLA is a data collection project that examines the language from citizens and law enforcement around annual forest and peat fires in Indonesia. Specifically, the project mines for twitter content collected during the fire season (june - sept), and asks whether or not we can use uploaded photos, tweets, and videos to offer a more naunced and embodied experience of fire smoke toxicity, heat, haze, and exhaustion.
From Sept 1, 2019 to Sept 30, 2019, using code I wrote, I attempted to collect every tweet that mentioned karhutla (forest and land fires), gambut (peat), asap (smoke). The collection process is still ongoing, and will recur this year. I then filtered down the data collected to focus on South Sumatra, a region which experienced the worst peat fires and haze in 2015.
I ran a variety of language analyses on the content to derive sentiment from filtered tweets. I then verified these results with the daily updated hotspot fire catalog developed by Indonesia’s National Remote Sensing Agency.
I plan to use my content analysis to edit a series of political statements released by Presidents and ministerial officers from Southeast Asia.
Inspired by Roopa Vasudevan’s #bellwether and Sam Lavigne and Tega Brain’s The Intergovernmental Panel on Capitalism.
#KARHUTLA is a data collection project that examines the language from citizens and law enforcement around annual forest and peat fires in Indonesia. Specifically, the project mines for twitter content collected during the fire season (june - sept), and asks whether or not we can use uploaded photos, tweets, and videos to offer a more naunced and embodied experience of fire smoke toxicity, heat, haze, and exhaustion.
From Sept 1, 2019 to Sept 30, 2019, using code I wrote, I attempted to collect every tweet that mentioned karhutla (forest and land fires), gambut (peat), asap (smoke). The collection process is still ongoing, and will recur this year. I then filtered down the data collected to focus on South Sumatra, a region which experienced the worst peat fires and haze in 2015.
I ran a variety of language analyses on the content to derive sentiment from filtered tweets. I then verified these results with the daily updated hotspot fire catalog developed by Indonesia’s National Remote Sensing Agency.
I plan to use my content analysis to edit a series of political statements released by Presidents and ministerial officers from Southeast Asia.
Inspired by Roopa Vasudevan’s #bellwether and Sam Lavigne and Tega Brain’s The Intergovernmental Panel on Capitalism.
Oct 31 2019
