This paper analyzes honks directed at autonomous vehicles (AVs) by other drivers. As honks often mark problems, this focus allows us to better understand the challenges that AVs face in real traffic. Performing a sequential video analysis of 63 honk incidents uploaded by Tesla beta testers on YouTube, we identify how problematic situations emerge as honkable Traffic Gestalts. We identify four types of situated problems with AV driving performance marked by other drivers’ honks: they may wait too long, steer inconsistently, stop instead of going, and go too fast. We further show how a honk may be understandable as a warning, a nudge or a reprimand. Our work suggests designing honks for AVs to focus on relevant contexts, supported by developing bidirectional interfaces and audio analysis methods that consider the interplay of auditory and visual information in traffic. 

The COVID-19 pandemic has motivated a turn towards more agroecological food production and food sovereignty. This article aims to analyze how the agroecological actor network has emerged in and around the capital of Buenos Aires and the province of Santa Fe, in Argentina, during the pandemic. The research questions are: How has the agroecological actor network emerged during the pandemic in Argentina? In what ways are agroecological networks enacted through coupling and decoupling practices? The study is based on interviews with practitioners, and observations of online events. In our results, we show how the production of compost, exchange of seeds and experiences, governmental programs, and food fairs are coupled and assembled in the agroecological network. The agroecological network is decoupling from the conventional agroindustrial model with pesticides and chemical input, supermarkets, and the global food system. The conclusion is that the pandemic has worked as a crisis where the agroecological network has been expanded. 

This paper is about the networks around the fires in the Brazilian Amazon forest during 2019 in tweets with the English hashtags #PrayForAmazonas, #ActForTheAmazon and #AmazonFire. We have studied 2517 tweets. Both the languages and the content of the tweets were taken into consideration to see who is assembled and what discursive elements are used in the framing. Our results indicate that the fires are framed as a global concern, beyond the Brazilian borders, especially as the lungs of the world. The framing of responsibility for the fires is focused on president Bolsonaro, who is assembled in many tweets, while animals and indigenous people are framed as victims. We conclude that the tweets in English tend to produce more relationships in terms of likes and retweets, in comparison to tweets in Portuguese and Spanish. In addition, the role of politicians and celebrities seems critical in getting traction around a hashtag and making it trending.