scholarly journals Online Activism and Dyadic Representation: Evidence from the UK E‐Petition System

Author(s):  
Jack Blumenau
2021 ◽  
Author(s):  
Flavio Primo ◽  
Alexander Romanovsky ◽  
Rafael de Mello ◽  
Alessandro Garcia ◽  
Paolo Missier

AbstractSubstantial research is available on detecting influencers on social media platforms. In contrast, comparatively few studies exists on the role of online activists, defined informally as users who actively participate in socially-minded online campaigns. Automatically discovering activists who can potentially be approached by organisations that promote social campaigns is important, but not easy, as they are typically active only locally, and, unlike influencers, they are not central to large social media networks. We make the hypothesis that such interesting users can be found on Twitter within temporally and spatially localised contexts. We define these as small but topical fragments of the network, containing interactions about social events or campaigns with a significant online footprint. To explore this hypothesis, we have designed an iterative discovery pipeline consisting of two alternating phases of user discovery and context discovery. Multiple iterations of the pipeline result in a growing dataset of user profiles for activists, as well as growing set of online social contexts. This mode of exploration differs significantly from prior techniques that focus on influencers, and presents unique challenges because of the weak online signal available to detect activists. The paper describes the design and implementation of the pipeline as a customisable software framework, where user-defined operational definitions of online activism can be explored. We present an empirical evaluation on two extensive case studies, one concerning healthcare-related campaigns in the UK during 2018, the other related to online activism in Italy during the COVID-19 pandemic.


2000 ◽  
Vol 111 (1) ◽  
pp. 78-90 ◽  
Author(s):  
C. R. M. Hay ◽  
T. P. Baglin ◽  
P. W. Collins ◽  
F. G. H. Hill ◽  
D. M. Keeling

2006 ◽  
Vol 175 (4S) ◽  
pp. 476-477
Author(s):  
Freddie C. Hamdy ◽  
Joanne Howson ◽  
Athene Lane ◽  
Jenny L. Donovan ◽  
David E. Neal

2006 ◽  
Vol 175 (4S) ◽  
pp. 210-210
Author(s):  
◽  
Freddie C. Hamdy ◽  
Athene Lane ◽  
David E. Neal ◽  
Malcolm Mason ◽  
...  
Keyword(s):  

2003 ◽  
Vol 2 (1) ◽  
pp. 131
Author(s):  
A ZAPHIRIOU ◽  
S ROBB ◽  
G MENDEZ ◽  
T MURRAYTHOMAS ◽  
S HARDMAN ◽  
...  

Crisis ◽  
2014 ◽  
Vol 35 (4) ◽  
pp. 268-272
Author(s):  
Sean Cross ◽  
Dinesh Bhugra ◽  
Paul I. Dargan ◽  
David M. Wood ◽  
Shaun L. Greene ◽  
...  

Background: Self-poisoning (overdose) is the commonest form of self-harm cases presenting to acute secondary care services in the UK, where there has been limited investigation of self-harm in black and minority ethnic communities. London has the UK’s most ethnically diverse areas but presents challenges in resident-based data collection due to the large number of hospitals. Aims: To investigate the rates and characteristics of self-poisoning presentations in two central London boroughs. Method: All incident cases of self-poisoning presentations of residents of Lambeth and Southwark were identified over a 12-month period through comprehensive acute and mental health trust data collection systems at multiple hospitals. Analysis was done using STATA 12.1. Results: A rate of 121.4/100,000 was recorded across a population of more than half a million residents. Women exceeded men in all measured ethnic groups. Black women presented 1.5 times more than white women. Gender ratios within ethnicities were marked. Among those aged younger than 24 years, black women were almost 7 times more likely to present than black men were. Conclusion: Self-poisoning is the commonest form of self-harm presentation to UK hospitals but population-based rates are rare. These results have implications for formulating and managing risk in clinical services for both minority ethnic women and men.


2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.


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