Friday, May 17, 2013

Information to be Collected


 I plan to gather primary empirical demographic data and primary qualitative data. Specifically, the qualitative information will be in the form anecdotal, opinion and experiential data produced through one-on-one interviews, questionnaires and a possible group interview.

The quantitative demographic data is highly relevant for two reasons. Firstly, as no specific research has been done on the demographic composition of the editing community in India, this data is required in order for the first research objective of this study to be achieved. Secondly, as this study aims not only to discover but to analyze the barriers and challenges that women face to their participation in contributing to Wikipedia in the Indian context, this demographic information will generate insight into what types (age, gender, level of educational attainment, etc.) of individuals are currently involved in editing, and who is being excluded. This information will aid in the fulfillment of my second research objective.

As for the qualitative data, the questions pertaining to the barriers and challenges that women face to their participation in the editing of Wikipedia listed under my second objective will be answered through the anecdotal, opinion and experiential data that is gathered in this study. 

Methods for Gathering Information


Population Survey
The purpose of this survey is to gather demographic data on the editing communities in India. I have chosen to use an electronic survey to gather this information for two reasons: one, I would like to gather empirical data from as large a sample size as possible; and two, the majority of the community members are very accessible via online means, so the dissemination of an electronic survey will effective and timely. The majority of the questions in the survey will have set answers, but a handful of questions will allow participants to enter their own answers. Participants will be asked to provide their Wikipedia User name for purposes of verification; all those surveys with false or non User names will be discarded.

The survey will be created using a survey software called SurveyMonkey, and the survey will be hosted on SurveyMonkey. I have chosen to use SurveyMonkey as it allows for easy distribution of the survey and has sophisticated data analysis tools. This survey will be disseminated on the Wikimedia India community mailing list as well as the various mailing lists and Village Pumps of 19 Indic-Language Wikipedia projects1. The survey as well as the request for participation in the survey will be translated into each required language before it is released.

Aside from the fact that I cannot assume that all Indian editors can read and write in English (though the vast majority can), the survey must appear in 19 different languages for two reasons: one, India is extremely ethnically and lingually diverse, therefore excluding those editors that are not English-literate will not provide a complete picture of demographic composition of the Indian editing community at large; two, the survey itself will be used as the main method of recruiting participants for interviews that will be carried out later on in the research, and an important aspect of this research is to gather qualitative data from women from different linguistic groups as they may have differing or distinct editing experiences.

The data collected through this survey will help me to answer the research questions associated with my first research objective, as well as help guide parts of my analysis of the themes in subsections (i) under my second research objective and my third research objective. Further, much of the information gathered may be very helpful for the various entities involved in carrying out developmental projects for the editing community in India, which is in agreement with my fourth research objective.

Drawbacks: The results of my demographic survey are restricted by the size of my response. If I get a very small number of responses, my research findings will not be particularly representative of the population at large. Further, the responses from the editors may not represent the editing communities at large but instead just those editors that are actively involved in the community at this point in time. There may be editors that are not subscribed to the mailing list, who do not check the Village Pumps, and who edit anonymously. However, the aim of this research is not to generate a significantly profound understanding of the demographic composition of the editing community in India, but instead to provide the initial groundwork for more directed future research.

Semi-structured One-on-One Interviews
The purpose of these interviews is to gather profound experiential, anecdotal, emotive and opinion data. Interviews will be carried out either in person (with an interpreter, when needed), over Skype or similar software or, if absolutely necessary, over email. The interviewees will be asked to choose a location/method which is most comfortable for them. I plan to use semi-structured interviews because while I have a clear list of questions that I would like to explore, I would like the interviews to have more of a conversational structure so that the women feel that they are able to freely expand on their thoughts and discuss related topics and I am able to ask unplanned questions.

I have chosen to gather qualitative information through this method because I would like to explore the barriers and challenges that are experienced by women who currently edit Wikipedia. Much documentary research can be performed that will speculate on the barriers, but in order to gain true insight into those obstacles and struggles that are relevant to the current population, experiential and anecdotal data must be gathered from the lived experiences and realities of current female Wikipedians. Furthermore, their emotive responses and experiences will help me to understand which barriers are the most hindering and discouraging for current editors. All of this data will be instrumental in answering the research questions subsection (i) of my second research objective as well as in the provision of astute research findings that will help me to meet my third and fourth research objective.

Drawbacks: The amount of data that I gather from my interviews will depend on how many women agree to be interviewed, so I may face issues of a very small, unrepresentative sample size. However, I will attempt to ensure that each interview is as profound and explorative as possible, which is why I have chosen to use a semi-structured strategy instead of structured. Similar to the possible complications with the online survey that I have discussed above, the responses that I receive may not be representative of the actual population of women that edit Wikipedia but instead of the population that is currently active in the community and subscribed to the mailing lists. Again, as this is initial research into this topic, I am not aiming to produce research findings that are generalizable for the female Indian editor population as a whole, but instead to generate basic insights that will hopefully stimulate future research in this area.

Group Interviews
Depending on the quantity of responses that I get for my invitation to be interviewed, I may carry out a group interview with female members of the English-language editing community as I feel this may allow me to gather a larger array of data in the limited time I have for my research. In using group interviews, I will be able to collect a large array of different opinions and experiences in one session, as well as allow for a more profound exploration of various challenges and barriers as participants build on their peers’ ideas and opinions. Further, having the participants discuss the barriers and challenges that they have faced and continue to face as editors will enable me to view trends in responses during the interview itself instead of during the comparison of individual interviews after the fact. My reasons for choosing to gather this type of qualitative data are identical to those for the one-on-one interviews: they will effectively contribute to information demands of subsection (i) of my second research objective, my third research objective and my fourth research objective.

Considering that India is geographically very large, it is likely that the responding editors will be located in various different locations throughout India. It would very expensive and timely for each editor to travel to one location for the focus group, and therefore many respondents may not be able to participate. In order to maximize participation should this situation arise, I may elect to hold the focus group over the internet either via IRC chat (or a similar IM client) or a similar platform (like Google Hangout). In order to avoid issues of false representation, the chatroom or Hangout will require a passcode or keyword to enter, which will be provided to the participants beforehand.

Drawbacks: Aside from those drawbacks listed for the one-on-one interviews, I may also face issues related to participants' inability to participate due to geographical or technical limitations. Furthermore, holding the group interview over an online space may encourage more participants than originally expected, and not all participants may be able to voice their opinion and/or share their experiences. In a group interview setting, participants may become pre-occupied discusses topics amongst themselves during the interviews, and may not respond to my questions. However, this may not be a drawback; participants may bring up new discussions and topics that I had not thought of.


Questionnaire
The questionnaire will gather qualitative and quantitive data. It will be in electronic form and will be created and hosted on SurveyMonkey. I have chosen to use SurveyMonkey as it allows for easy distribution of the survey and has sophisticated data analysis tools. The questionnaire will be in English, and will request demographic data as well as experiential, anecdotal, feeling and opinion data. The majority of the quantitative questions will have set answers, whereas all of the qualitative questions will require participants to enter answers. Questionnaires will be answered anonymously, and each participant will be assigned a participant number that will be recorded with their individual responses.

I have chosen to use a mixed qualitative/quantitative electronic questionnaire because I do not have the same direct access to a non-editing community as I do an editing community, so the performance of a profound qualitative study on this population would be logistically complicated and timely; an electronic questionnaire will hopefully collect a large enough data pool to identify themes and perform analysis that will contribute to my research while leaving ample space for further research. Further, the demographic information that will be collected will help to inform the analysis of the qualitative data. The findings of this questionnaire will help to answer the questions pertaining to subsection (ii) of my second research objective, as well as help to meet the information demands of my third and fourth research objectives.

Drawbacks: As respondents will be allowed to answer anonymously, there is always a risk of “repeat-offenders”, or individual participants that take the test multiple times, as well as participants supplying and/or misleading false data. In addition, as is a drawback with any questionnaire, my research findings will be restricted by the number of respondents. However, I am not attempting to generate data that is representative of the population; instead, I hope that some of the themes that I am able to identify from this data-gathering exercise will lead to the creation of future research on this topic.



1 Not all Indic-language Wikipedia projects have their own mailing list, though most have both a mailing list and Village Pump. Two languages, Pali and Newari (Nepal Bhasa), do not possess either a Village Pump nor a mailing list, but both have a community page that could possibly be used to disseminate the survey.

Significance of the Study and Expected Outcomes


Through the identification and exploration of the various obstacles faced by both female editors and non-editors in India, this proposed study will show that many of these challenges are specific to the societal, social and economic realities of individual and/or groups of Indian women. As was pointed out in the research problem, much of the prior research on the editing gender gap has looked at the experiences of the female editing population in general, which puts the research findings of those studies in jeopardy of predominately representing the experiences of women from the English-speaking Western world. Any efforts to resolve the gender gap in the Indian contributor communities that do not take into account the contextual nature of the challenges faced by Indian women are likely to recreate the same exclusionary trends that already exist within these groups. The outputs of this study will therefore not only be highly conducive to the production of more effective efforts and projects to attract and retain female editors in India, but will help the Wikimedia community at large to better understand the complexities of the gender gap in Wikipedia. Accordingly, it is my hope that this study will stimulate, and behave as a basic structure for, similar regional and population-specific explorations of the Wikipedia gender gap.

Furthermore, I do not expect this study to generate a highly nuanced, representative account of the barriers and challenges that Indian women face to their participation in the editing of Wikipedia; instead, as it is the first region and population-specific research on the gender gap in Wikipedia, the findings of this study will provide an initial exploration of the topic that will hopefully stimulate more extensive research in this area. 

Timetable of Activities/Data Gathering Schedule

Week
Activity
May 20th-27th
Preparation to begin data-gathering activities:
-Waiting for Ethics approval
-Collecting quotes on translation services and, if budget permits, getting the surveys and invitations to participate in the surveys translated; if budget does not permit, I will solicit the aid of the Wikimedia Chapter in India
-Inputting survey on SurveyMonkey
-Inputting questionnaire on SurveyMonkey
-Disseminating invitation to participate in interviews
May 27th-June 3rd
(If Ethics approval has been awarded)
-Disseminate invitations to participate in survey and questionnaire
-Begin data-gathering for surveys questionnaire
-Begin interviews/co-ordinate interviews
June 3rd-June 10th
-Carry out interviews
-Begin organization for group interview, if needed and possible at this stage
-Transcribe any interviews that have been completed
June 10th-June 17th
-Send out reminders for survey and questionnaire responses
-Carry out interviews
-Begin organization for group interview, if needed and possible at this stage
-Transcribe any interviews that have been completed
June 17th-June 24th
-Carry out interviews
-Begin organization for group interview, if needed and possible at this stage
-Transcribe any interviews that have been completed
June 24th-July 1st
-Send out reminders for survey and questionnaire responses
-Carry out interviews
-Transcribe any interviews that have been completed
July 1st-July 8th
-Carry out interviews
-Transcribe any interviews that have been completed
July 8th-July 15th
-Send out reminders for survey and questionnaire responses (last week to respond)
-Carry out interviews
-Transcribe any interviews that have been completed
July 15th-22nd
-Organize, categorize, code, encrypt and store questionnaire data
-Translate (if needed), organize, categorize, code, encrypt and store survey data
-Encrypt and store interview data

Friday, May 10, 2013

Current Problems: My Methodology and Research Subjects...


I have reached a sticking point in my thesis work. Yesterday, I sat down to write a rough draft of my research proposal, and found that I was still struggling my research design. In particular, I am having much internal conflict over which population I want to work with, how I want to collect my data (my methodology), and how I will design those methods of data collection to provide answers to my research questions. The third issue is really the main issue, as it is the cause of my struggles with the first and second.

Without resolving these issues, I cannot move forwards in my research design.

Here are the three issues that I'm currently struggling with, along with some of the major questions associated with each issue:

Populations: 
Currently, I'm worried about finding the right populations to work with. The editing communities themselves are quite accessible via my contacts and their mailing lists. However, I am worried I will get very limited results if I just work with this community of already-established editors. I would therefore like to data-gather from a non-editing population. But which population? I thought of trying to work with the students who were part of the Pune Pilot Project of 2011 that was run by the India Wikimedia Chapter (the report on which can be found here: http://en.wikipedia.org/wiki/Wikipedia:India_Education_Program/Analysis/Independent_Report_from_Tory_Read) and women who have been participating in the current outreach programs put on by the A2K team, and to focus on women that had started editing but had stopped. My other idea was to reach out to various FOSS mailing lists in India and use them as my non-editing population (as a similar study, "Wikipedia's Gender Gap" by Linda Steiner and Stine Eckert, used to survey wikipedia readers). 

In order to collect this data, I wasn't sure if I should identify participants and do interviews (particularly with the students and women that have been involved in outreach projects) or design a survey similar to the one that Sarah Stierch designed, the Women and Wikimedia Survey (https://meta.wikimedia.org/wiki/Women_and_Wikimedia_Survey_2011#Demographics), which collected both quantitative and qualitative data.

Further, I would really like to do some research on both the English language editing community and the 20 other Indic language editing communities. Most of the communities have a very small population of editors, with, from what I gather, only a few women. However, I'm not sure how do-able this is. Do I do a basic demographic survey of all the populations, just to see how many women editors there are, what background they come from, etc.? Or do I try with the quantitative and qualitative survey? Or, do I abandon all of that and just work with the English Language editing community for qualitative data?

Questions: Should I try to work with both editors and non-editor communities? Should I attempt to work with both the English Language and Indic-language communities? Should I use a survey to try to gather both qualitative and quantitative data for these populations?

Methodology: 
I'm worried about the scope of my research. I don't want to overreach myself (by proposing to do too much data-gathering), but I also want to be able to generate useful data. Right now, I'd like to perform a basic demographic survey on all of the language communities just to get a better idea of how many women are editing in the various communities, what their backgrounds are, etc. Then I was thinking that I would perform either: 5 interviews with women editors from the community and five interviews with women that are non-editors (hopefully, depending on response) OR a focus group with each of the two populations. Then I began thinking about how large these populations are, and if this would really be representative, and came back to my joint qualitative-quantitative survey idea just so I could possibly get a larger sample size (depending, of course, on survey response). Also, because India is a big country, I'm a bit worried about how much I'll have to move around, and began wondering if focus groups could be done online (maybe through Google hang-out?), and how legitimate that would be.

Questions: Should I used a mixed methodology? How do I choose a sample size that is large enough without overreaching myself? How legitimate is qualitative data that is gathered via online in the academic world?

Abstract questions: 
I'm struggling to figure out how I investigate my more abstract questions through my methodology. 

Questions: How do I find out what kind of socio-economic barriers that Indian women face I'm working with a mostly mostly English-speaking, middle class Indian population? How do I investigate the barriers that prevent local knowledge from becoming part of Wikipedia in this population?


Hoping a Skype meeting with Professor Chan will help me overcome some of these conflicts, and enable me to complete my research proposal and ethics review!

Emerging Ideas about Content of Final Report...

Unfortunately, most of the research I find myself collecting (after partially reading it) is probably only going to make an appearance in the final report of the research, which I will begin writing in September, 2013.

As I've been collecting research (and my thoughts!), I've been writing notes on various themes that I will write about in the final report. These are my very rough thought-notes on these themes:


-How many women edit
-Survey, issues with that, active editors, editors that identify as male/female, how many women edit in Indian community
-Mention decrease from 13% to 9%. Look at survey sizes. Decrease or disproportionate increase in male editors?
-Mention the average WIkipedia user (systemic bias page)
-”WP:Clubhouse? An Exploration of Wikipedia's Gender Gap” + articles for research proposal
-Why is this happening on Wikipedia and not on other platforms?

-How does this compare to their participation in other online communities/activities?
-About the same amount of women and men read Wikipedia...
-Women and men tend to use the internet about the same amount (PEW research study)
-EMPHASIS: Other FOSS communities/activities...Lots of research done on this.
-Social media, journalism, other forms of online activities.

-Barriers that have been identified
-See resources: 9 reasons why women don't edit, Wikipedia page on systemic bias, outcomes from the Wikiwomen Camp 2012 (http://www.ludost.org/content/wikipedia-why-few-women-edit)
-Systemic bias, culture that is unfriendly to women and to women's knowledge, notability and verifiability, traditional knowledges
-”WP:Clubhouse?” An Exploration of Wikipedia's Gender Gap”
-Multple examples of stereotypical male knowledge articlers versus stereotypical female knowledge articles: http://www.nytimes.com/2011/01/31/business/media/31link.html

-Lack of dialogue about women editors and unique barriers in the global south
-Heather Ford's “The Missing Wikipedians”
-"Wikipedia is not the sum of all human knowledge: do we need a wiki for open data?"
-Some more discussion of traditional knowledges, etc.
-What are some of the unique barriers faced by women in the south (Mentioned in Wikipedia page on systemic bias)
-What is missing? As pointed out byWarewitz in her brief articles “Who Speaks for the Women of Wikipedia?” Little to no work has been done with current female editors. Many outsiders are speaking about it, but little is being asked of the already established/involved editors. This is where I come in. Even Sue Gardner takes sources from outside of Wikipedia in her article “9 reasons why women don't edit”
-See CIS' work and reports on this

-Research Justification (Why should we identify these barriers)
-Look how Wikipedia is being used (who is citing, how often it's being cited, etc.)
-what happens when we have a bias in knowledge repositories? What is the societal effect of content bias on Wikipedia?
-Halavais & Lackaff argue: “If an encyclopedia is only as good as its weakest areas, it is important to identify these weaknesses(431).
-What happens when women's voices aren't heard?
-Wikipedia shaping knowledge of the offline world (pew study: http://www.pewinternet.org/Reports/2011/Wikipedia.aspx) and also p.8 of “WP:Clubhouse? An Exploration of Wikipedia's Gender Gap”
-Wikipedia is not expanding at the rate it is expected to—See Heather Ford's “The Missing Wikipedians”
-Women difference in editing (“Gender Differences in Wikipedia Editing” article)
-Lack of dialogue about women editors in the developing world, particularly in India
-Example of women behaving as the keepers of “local” or “traditional” knowledge in India—this is gendered knowledge, but there is no place for it on Wikipedia, even though many argue that preserving local culture and knowledge is very important.




Important resources (as of May 10th):
-S. C. Herring. Gender and power in on-line communication. In J. Holmes and M. Meyerhoff, editors, The Handbook of Language and Gender, pages 202–228. Blackwell, 2003.
-Unlocking the Clubhouse: Women in Computing. Margolis, J. And Fisher, A. 2001.
-Hargittai, E. & Shafer, S. (2006). Differences in actual and perceived online skills: The Role of Gender. Social Science Quarterly. 87(2), 432-448.
-Krieger, B., & Leach, J. N., Dawn. (2006). FLOSSPOLS gender: Integrated report of findings. Retrieved July 26, 2011, 2011, from http://flosspols.org/deliverables/FLOSSPOLS-D16- Gender_Integrated_Report_of_Findings.pdf
-Rafaeli, S., & Ariel, Y. (2008). Online motivational factors: Incentives for participation and contribution in Wikipedia. In A. Barak (Ed.), Psychological aspects of cyberspace : Theory, research, applications (pp. 243-267). Cambridge, NY: Cambridge University Press.
-Henderson, J. J. (forthcoming). Toward an ethical framework for online participatory cultures. In A. Delwiche, & J. Henderson (Eds.), The Routledge handbook of participatory cultures. New York: Routledge.
-Fallis, D. (2008). Toward an epistemology of Wikipedia. Journal of the American Society for Information Science & Technology, 59(10), 1662-1674. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1263781#
-IAMAI for stats about computer and internet penetration (http://www.iamai.in/rsh_pay.aspx?rid=avDLOK1zAI8=)
-"Wikipedia is not the sum of all human knowledge: do we need a wiki for open data?" Finn Arup Nielson
-Comparison to other online encyclopedias and Free and Open Source online societies.  

Friday, May 3, 2013

Data-gathering plan and Definitions


Hello Prof. Chan,

Here is a rough outline of the data-gathering activities I'd like to complete for this thesis. I don't know how realistic gathering this large of an amount of data is, so I would really appreciate any advice you can give in this respect.

It looks like I'm heavily leaning towards working mostly with the editing community, mostly because I think they will be the easiest to access, and there is much to be learnt from the experiences of current women editors from this group. I think that most of the insight about what barriers are faced by women when they are attempting to become editors will be coming from the A2K team, who is working to bring more female editors in, though I'm sure current editors will have faced interesting barriers, as well.

Please do look over my plan and tell me if it's realistic and, more importantly, useful!



Data-gathering activities:
Quantitative:
1. Perform survey of English Language and (maybe only the largest) Indic Language editing communities to see how many women editors are part of the editing communities
Methods:
-interaction with A2K team and communities themselves to do a head count (possible language/access complications, but hopefully A2K team will be able to help with this)
-counting and analyzing names on mailing lists ( (a)less reliable, as some editors may not be currently active in the community or even editing, etc. May be useful for getting an idea of increase/decrease of female editors over time? (b) Language barrier as I will not be able to recognize female versus male names in some of the Indic languages)

2. Perform survey of English Language and Indic Language community mailing lists and IRC chats to see how many female editors have been actively posting on the mailing lists and participating in IRC chats in the last 5 years
Method:
-Make a list of all editors who have posted to the mailing list in the last 5 years, with post counts
-Identify female editors through interaction with communities (they may know of past editors who
-Compare how many posts have been made by female editors versus male editors


3. [tentative idea] Create a data map of all the edits performed by all active female editors over the last calendar year, along with any revisions/deletions associated with their edits
Method:
-Using editors' names, look up their edit counts, etc. If this turns out to be less labour-intensive than I thought, maybe I can go back another year or more.
-OR put together survey for members of the community that would require them to identify this information themselves[1]

[1] A survey may be able to encompass all or a large part of the information I'm looking for in activities 1-3.

Qualitative:
4.
a) Interviews (and possibly in surveys for editors):
i) With A2K/Wikipedia team, and others working for/on Wikipedia in India:
-How would you describe the condition of female editors in the English-language/Indic language community? Do they tend to be active in the community? Are their voices heard? Why or why not?
-What are the barriers faced by women editors? What is stopping more women from becoming editors?
-What are the challenges in attracting more women editors?
-What kind of work have you been doing to encourage more women to take up editing?
-What kind of women are you targeting? How are you going about this?
-How has the community been receiving your attempts to bring in more women editors?
-What kind of work have you been doing with current women editors? Have they been receptive to your aid? Are they supportive or unsupportive of your efforts?
-What else can be done to bring in more women editors, and encourage the already-existing editors to become more active?
ii) With female editors active in the community
-Can you tell me a bit about yourself? What do you do? How old are you? What kind of certifications do you hold (educational attainment)?
-What prompted you to become involved in editing Wikipedia? What prompted you to continue to stay involved? If you are not involved, why not?
-Tell me a bit about your editing experiences. What kind of articles do you tend to edit? How often do you edit? Do you feel that you make more additions or revisions? How are those edits received? Do you find that many of your posts are revised and/or deleted? How do you feel that your knowledge additions/revisions are received?
-Do you feel that you've faced barriers to you participation in the editing of Wikipedia? If so, what were/are they? Have these changed?
-What has been your experience interacting with the editing community a) in India b) internationally?
-How do you feel that you are received by the editing community? Do you feel like your voice is heard? Do you feel like your inputs are considered?
-Do you face barriers or adversity to your involvement with the editing community? If so, what were/are they?
-Have you ever felt like you've been treated differently because of your gender, either in your editing, during your participation in the community, from other editors, from non-editors, from the general public, etc.?
-What do you feel could be done to improve the experiences of women editors, and bring in more editors?
iii) [possibly] From women editors not involved in the community
-Same questions as above for women editors involved in the community, but with less questions about their involvement (I'll simply ask: “Why are you not involved in the editing community?”)
b) Documentary research
-What barriers are women facing to their involvement in Wikipedia? In the Indian context, how much of this lack of women participation is due to physical/infrastructural barriers? How much is it due to educational barriers? How much is it due to language barriers? How much is it due to cultural barriers?
-Verification requirements of Wikipedia, the issue of authoritative or verifiable sources, and epistemological debates within Wikipedia about what knowledge is.
-What roles do cultural narratives surrounding the authority of knowledge play in women's participation in editing/adding to the "sum of all knowledge"?
-What role does the inclusionist versus revisionist debate play into cases where things that are typically viewed as "Women's knowledge" (knowledge that is traditionally/culturally feminine or associated with the female gender) are revised/deleted for being insignificant or having "no indication of importance"?


Notes on data-gathering activities:
Quantitative:
1. Required to determine exactly who I will be working with as my research subjects, and to understand how large of a sample size I am working with. Also gives me a better idea of the male-to-female editors ratio, which is a required data-point for the research, particularly when it comes to the justification of this research project. This is basically the first step of the research
2. While this doesn't give us much of an idea of how many women are editing Wikipedia actively, it does give us an idea of how active women are in the editing community, upon which inferences of how often their voices are heard, if they are having input into the on-going development of Wikipedia and the Wikipedia platform, etc. Analyses of the repercussions of “missing” female voices can be performed.
3. This is where I get into the hardcore quantitative editing data that will hopefully lead to some indices on what women are editing, how they are editing (are they making additions, or revisions?), how often their posts are being revised/deleted, etc. This could make a really cool and useful chart/graph. I should petition the Wikimedia Foundation to commission the creation of a data map of all edits/additions of all declared female editors, as well as the deletions/revisions afterwards. I'm sure the outputs of that could be compared to statistics about how often pages are edited/revised, etc. If those kind of stats are available.

Worries:
-I'll need statistics on male editors to make a comparison for analysis
-This, of course, limits my sample size to active editors, and can not reach editors that are not active in the communities. How do I reach non-active editors? How do I reach infrequent editors? How does this diminish the legitimacy of my research and its intended outputs?
-Mailing lists: Not just editors posting (I myself have posted on the mailing list), so requires me to look up each poster's name, see if they have an editing account, label them as infrequent/average/frequent editors, etc. I believe that these would still useful statistics, however, so I am more than willing to put in the leg work for this.
-These seem quite labour-intensive (though I'm not actually too worried about this—I have the time and the determination!), and I wonder if a survey could be put together that could be circulated on the mailing lists that could gather a large amount of the data I'm looking for (like gender, account names, edit counts, data from both male and female editors...As well as some possible qualitative data points which will be discussed below)
-However, the issues with surveys is response. I would just have to hope I got a good response. Further, for the Indic language communities, I would have to get the surveys translated, and the responses translated. I'm sure this could be done.

Qualitative:
4. a) iii) Only issue I foresee is getting access/in touch with women that are editors but are not active in the community. May not even include them as research subjects, as I seem to be leaning heavily towards working only with the community...Problematic?
   b) The majority of which will probably be done once the writing of thesis begins in September...



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Research Definitions:

“Editor”: Someone who edits or who has edited wikipedia, and possesses an editing account
“Active Editor”: Someone who currently edits Wikipedia
“Infrequent Editor”: Someone who currently edits Wikipedia research to find out number
“Average Editor”: An editor who currently edits Wikipedia on this measurement shall be determined with more literature review)
“Frequent Editor”: An editor who currently edits Wikipedia
“Involved Editor”: An editor who is active and involved in their respective editing community
“Community”/ “Editing Community”: Come up with definition for this, not just mailing list but...etc.