The Collective Activity Dataset contains 5 different collective activities: crossing, walking, waiting, talking, and queueing and 44 short video sequences some of which were recorded by consumer hand-held digital camera with varying view point.

Collective for Research & Training on Development - Action Activity File

This respository includes two datasets, a Document-Term Matrix and associated metadata, for 17,493 New York Times articles covering protest events, both saved as single R objects.

These datasets are based on the original Dynamics of Collective Action (DoCA) dataset (Wang and Soule 2012; Earl, Soule, and McCarthy). The original DoCA datset contains variables for protest events referenced in roughly 19,676 New York Times articles reporting on collective action events occurring in the US between 1960 and 1995. Data were collected as part of the Dynamics of Collective Action Project at Stanford University. Research assistants read every page of all daily issues of the New York Times to find descriptions of 23,624 distinct protest events. The text for the news articles were not included in the original DoCA data.

We attempted to recollect the raw text in a semi-supervised fashion by matching article titles to create the Dynamics of Collective Action Corpus. In addition to hand-checking random samples and hand-collecting some articles (specifically, in the case of false positives), we also used some automated matching processes to ensure the recollected article titles matched their respective titles in the DoCA dataset. The final number of recollected and matched articles is 17,493.

We then subset the original DoCA dataset to include only rows that match a recollected article. The "20231006_dca_metadata_subset.Rds" contains all of the metadata variables from the original DoCA dataset (see Codebook), with the addition of "pdf_file" and "pub_title" which is the title of the recollected article (and may differ from the "title" variable in the original dataset), for a total of 106 variables and 21,126 rows (noting that a row is a distinct protest events and one article may cover more than one protest event).

Once collected, we prepared these texts using typical preprocessing procedures (and some less typical procedures, which were necessary given that these were OCRed texts). We followed these steps in this order: We removed headers and footers that were consistent across all digitized stories and any web links or HTML; added a single space before an uppercase letter when it was flush against a lowercase letter to its right (e.g., turning "JohnKennedy'' into "John Kennedy''); removed excess whitespace; converted all characters to the broadest range of Latin characters and then transliterated to ``Basic Latin'' ASCII characters; replaced curly quotes with their ASCII counterparts; replaced contractions (e.g., turned "it's'' into "it is''); removed punctuation; removed capitalization; removed numbers; fixed word kerning; applied a final extra round of whitespace removal.

We then tokenized them by following the rule that each word is a character string surrounded by a single space. At this step, each document is then a list of tokens. We count each unique token to create a document-term matrix (DTM), where each row is an article, each column is a unique token (occurring at least once in the corpus as a whole), and each cell is the number of times each token occurred in each article. Finally, we removed words (i.e., columns in the DTM) that occurred less than four times in the corpus as a whole or were only a single character in length (likely orphaned characters from the OCRing process). The final DTM has 66,552 unique words, 10,134,304 total tokens and 17,493. The "20231006_dca_dtm.Rds" is a sparse matrix class object from the Matrix R package.

In R, use the load() function to load the objects dca_dtm and dca_meta. To associate the dca_meta to the dca_dtm , match the "pdf_file" variable indca_meta to the rownames of dca_dtm.

Three spreadsheets, one for each experiment.Every row of data corresponds to one individual (predation experiment) or one segment of one individual's data (selection line experiment and sorting experiment)

Cobra Collective CIC Activity File

table of tunnel patrollers critical incidents

These data, code, and documents replicate all analyses in "Changing Collective Action: Nudges and Team Decisions" by Florian Diekert and Tillmann Eymess.

DCA project includes over 23,000 collective action events in the U.S. from 1960 through 1995. Event characteristics include date, location, participants, claims, and various event characteristics (including instigators of violence, counterprotesters).

Financial overview and grant giving statistics of Collective Impact Action

The definitions and descriptions of parameters.

Dataset corresponding to the results displayed in the article "Much ado about nothing? High colony activity does not impact individual and collective foraging performance in ants".

These files are my data and scripts to replication "Spontaneous Collective Action: Peripheral Mobilization During the Arab Spring". It includes aggregated Twitter, GDELT, ICEWS, and ACLED data.

Mean monthly hours paid by economic activity, collective pay agreement, sex

Paweł Adamowicz, the liberal mayor of Gdańsk, died on January 14, 2019, after being stabbed by a man who rushed onstage during a charity event. Three studies were carried out to analyze the predictors of willingness to engage in collective action for the support of the progressive city policies he initiated. In this study 1 (N = 214), the questionnaire, with a fixed order of scales, was administered online. Only inhabitants of Gdansk participated in this study. The sample was diverse, with all age ranges represented (18–24 years: 10.7%, 25–34: 29.4%, 35–44: 27.6%, 45–54: 11.2%, and 55 or older: 21%). After a short introduction that presented the study as research on the relationships among emotions, group processes, identity, and beliefs, participants were asked to answer questions related to collective angst, collective action, and perception of the motives of the attack. Collective angst was related to collective action intention. Group identification mediated this relation.

Analysis of ‘Mean annual earnings by sex, economic activity and collective pay agreement’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://data.europa.eu/data/datasets/7wh7wax6l0byyfcdld5fna on 30 September 2021.

--- No further description of dataset provided by original source ---

--- Original source retains full ownership of the source dataset ---

Financial overview and grant giving statistics of Collective Action for A Water Secure World C4w Inc.

Does collective identity drive protest participation? A long line of research argues that collective identity can explain why protesters do not free ride and how specific movement strategies are chosen. Quantitative studies, however, are inconsistent in defining and operationalizing collective identity, making it difficult to understand under what conditions and to what extent collective identity explains participation. In this paper, we clearly differentiate between interest and collective identity to isolate the individual level signals of collective action. We argue that these quantities have been conflated in previous research, causing over estimation of the role of collective identity in protest behavior. Using a novel dataset of Twitter users who participated in Black Lives Matter protests during the summer of 2020, we find that contingent on participating in a protest, individuals have higher levels of interest in BLM on the day of and the days following the protest. This effect diminishes over time. There is little observed effect of participation on subsequent collective identity. In addition, higher levels of interest in the protest increases an individuals chance of participating in a protest, while levels of collective identity do not have a significant effect. These findings suggest that collective identity plays a weaker role in driving collective action than previously suggested. We claim that this overestimation is a byproduct of the misidentification of interest as identity.

Subjects (N=720) were ranked based on their individually measured risk propensity, the most risk-seeking individuals were then experimentally placed in the most central, most peripheral, or random locations in three network treatments. Collective action cascades happened faster and were more frequent in the peripheral assignment. Supplement to Chapter 5 in "Leading from the Periphery and Network Collective Action".

The data we used was collected from household survey from August 2017 to February 2018 in Yangzhou prefecture in Jiangsu province, which is in the centre of the Yangtze Delta. The sample area we selected mainly because Yangzhou is National Garden City and implemented a series of rural public space construction projects, e.g., rural landscape planning and construction projects, rural human settlement environment renovation project, etc. On the other hand, challenges and difficulties are also encountered in local public space governance.

2010 - Number of employees by sex, economic activity and collective pay agreement