Bini
Philips
(I
do not plan to take the second module yet)
SNA work on social
movements I referred to: https://www.jstor.org/stable/2780088?seq=1#page_scan_tab_contents
Background
Many said we might see in Poland this year what we saw in Iceland in 1975 and on October
3, 2016 we did. Black
Monday brought Warsaw to a standstill. 200,000 women dressed in black
stormed the streets to protest
the new anti-abortion law. At present, abortion is legal in Poland only if
it poses a threat to the life and health of the mother, or if the pregnancy is
a result of rape, or if the fetus is diagnosed unhealthy (conditions like Down
syndrome). The new law would have protected the life of the unborn child at the
cost of the mother’s. This lead to a national uprising and the strength the protest
garnered eventually lead the governing party to retract from the proposed law.
Social movements have uprooted governments, reopened court
cases, freed nations, ended racist atrocities, opened dialogues, changed laws
etc. History is witness to these group actions that have emerged from the bottom
and lead to tangible solutions. Is Poland at the brink of a change too?
In October 2015, the Law and Justice Party (Pis) came to
power in Poland and has been since criticized for its conservative agenda and
anti-democratic actions. The proposed anti-abortion law has also been criticized
heavily as another one of PiS’s regressive moves. Is the growing unrest in
Poland rising to the surface through this protest? Could this protest mark a
turning point in Polish Politics?
Research Questions
How were such massive numbers mobilized for the protest? Did
social media networks lead to real world connections or were social media
channels employed to disseminate the message of a centralized feminist/left
wing voice against this law? What are the political motivations of the groups
that have emerged as key actors in this protest, if any?
Methodology
1. Identify the political parties and groups that organized
the protest, including online forums/pages, examples:
·
Committee for the Defense of Democracy
·
Gals for Gals (Facebook page)
·
Save the women (Facebook Page)
·
Czarny Protest (Facebook page)
2.
Create data on the networks these groups used to
mobilize women, one example given below:
·
Network of 20 coordinators who each contacted
1000 women for the protest
·
250 Committee for the Defense of Democracy coordinators
·
20 social media tech experts team that Lombart
put together
This data will be easy to get, it
has been published in a news story -http://www.smh.com.au/lifestyle/news-and-views/news-features/how-the-women-of-poland-pulled-off-their-massive-nationwide-protest-20161010-gryuwq.html
But once I get this data, to find
connections between them will require a survey that identifies all key players
and find levels of connections between them and how they are connected example-
work, school, political leanings etc.
3.
Examine if closely knit clusters emerge
4.
Map the interconnections between groups, including
oppositions parties- Platforma Obywatelska, Nowoczesna, Polskie Stronnictwo
Ludowe- and independent groups
5.
Attributes that will be looked at- age (because Polish
youth played a crucial role in the protest and are potential recruits for the
opposition), gender and location.
6.
The most important network measure will be the
maximum indegree and eigenvector score- to identify strong emerging leadership
Conclusion
If strong connections emerge between the
political parties in the opposition and the key actors in the protest, then the
anti-abortion protest could be the beginning of a social movement anchored in
women’s rights taking shape. If moderate connections emerge, then it is a collective
action against a regressive abortion law.
1 comment:
Great subject. Perhaps the network data won't be as difficult to collect as you think. If Twitter was used (and it is reasonably popular in Poland,) then you could look at hashtags around the major speeches or protest demonstrations. You can buy historic tweets for past events and use a program like NodeXL to cover events going forward. Otherwise, you can indeed construct nets out of the two-mode attribute data, but that would be a difficult process--but not impossible. Before you do, you need to think through your network analysis approach a bit more.
If you're every interested in pursuing this, let me know.
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