wea_ondara/master
1
1
Fork 0
Code Issues Pull Requests Releases Wiki Activity

wip

Browse Source
This commit is contained in:
apucher
2022-08-24 11:30:10 +02:00
parent 3b1bac66f5
commit 445b80453d
3 changed files with 44 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

27
text/1_intro.tex
View File

@@ -2,6 +2,16 @@
%grammarly checks
%TODO more text here
%sachen von related work wiederholen
%DONE es gibt so viele commu .. neue kommen, machen comm sterben,
%DONE was machen die site admins
%DONE was hat stackexchange gemacht ein beispeil
%DONE different types of communities: social exchange(facebook, twitter, div messaging apps), social support platforms, information exchange (community knownledge platforms (CQA, forums, wikis, ...), ...)
The introduction of the Web 2.0 and its core feature of user interaction, users interact with each other in online communities. These communities come in various shapes and forms. There are communties for social interaction, for instance, Facebook\footnote{\url{https://facebook.com}}, Twitter\footnote{\url{https://twitter.com}}, and instant messaging apps. There are communties for social support, i.e. communities where users have certain common qualities, for instance, illnesses. There are also communities with the purpose of information exchange. Information exchange platforms can be grouped into expert and community knownledge platforms. While expert platforms are rarely known and often only used by niece groups, community knowledge platforms are widely known and used by the general public. Community knowledge platforms can be divided into 1) wikis, for instance, Wikipedia\footnote{\url{https://wikipedia.org}}, 2) forums, and 3) Q\&A platforms, for instance \emph{Yahoo! Answers}\footnote{\url{https://answers.yahoo.com}}, \emph Quora\footnote{\url{https://quora.com}}, and StackExchange\footnote{\url{https://stackexchange.com}}.
StackExchange is a Q\&A platform and consists of 174 communities\footnote{\url{https://stackexchange.com/tour}}. Each community evolves around a specific topic, for instance, StackOverflow focusing on software engeneering,
or AskUbuntu focusing on the Ubuntu operating system. This distincts StackExchange from other Q\&A sites such as \emph{Yahoo! Answers} where no such differentiation into topics exists. %TODO ref
@@ -14,6 +24,23 @@ or AskUbuntu focusing on the Ubuntu operating system. This distincts StackExchan
% write new numbers about so %TODO
%-->
%DONE challenges of running a community: initial setup, onboarding, keeping angagements, regulation
%DONE -> add mentor ship program+desc rough description: exampl for onboarding
%DONE stackexhange tries many things over the years: mentorship program+ref, list more examples here, see section 2
Communities face different challenges during their lifetime\cite{kraut2012building}. In the beginning, bootstrapping the community and gaining a critical mass of users is the main challenge. In the following phase, community growth is the main challenge. In the third phase, the goal is to keep the community in a lively and ordered state. The main challenges are onboarding of new users, ensure steady user engagement and constributions, and regulation. Running a community also includes technical, financial, personel, and other challanges. A community has to solve all these challenges to a certain degree to exist and keep existing. Many communities have been created over the years and a lot of these communities went extinct. A recent example of a seasure of existence is \emph{Yahoo! Answers} which shut down in May 2021\footnote{\url{https://help.yahoo.com/kb/SLN35642.html}}.
StackExchange is continually working on improving their platform. Their team implemented serveral changes to the platform to tackle different challenges that arose over time, for instance, updating the code of conduct to ensure a more friendly tone in user interactions\footnote{\url{https://meta.stackexchange.com/questions/240839/the-new-new-be-nice-policy-code-of-conduct-updated-with-your-feedback}}, improving the review queue for reported content for moderators\cite{ponzanelli2014improving}, or the \emph{Mentorship Research Project}\cite{ford2018we}\footnote{\url{https://meta.stackoverflow.com/questions/357198/mentorship-research-project-results-wrap-up}}.
The \emph{Mentorship Research Project} was a research project to improve the onboarding process of new users. In the study new users who created their first question had the option the let their question be reviewed by a mentor (a user familiar with the community). The mentor world reviw the question and suggest changes to the question, for instance, more context to the question. The user would then adjust their question and post it in the community. The result of the suty was that mentored questions were received segnificantly better than non-mentored questions. Although, this is just a research project, StackExchange could create some automated system to help new users during their onboarding phase.
In August of 2018, the StackExchange team introduced a small change that may have had a huge impact on the platform. They added a new feature to visibly mark questions from new contributors, as part of their effort to make the site more welcoming for new users\footnote{\url{https://meta.stackexchange.com/questions/314287/come-take-a-look-at-our-new-contributor-indicator}}.
Specifically, members who want to answer a question created by a new contributor are shown a notification in the answer box that this question is from a new contributor. The StackExchange team hopes that this little change encourages members to be more friendly and forgiving toward new users.
% write about the change investigated

16
text/3_method.tex
View File

@@ -85,16 +85,18 @@ Although the ITS analysis takes data density variability and seasonality into ac
%
\subsection{A synthetic example}
%TODO
The diagram in figure \ref{itsexample} is generated by the following algorithm:
%3 segment example like it will be used later
% with lower sentiment first and higher sentiment after the change
%
For demonstration purposes, this section shows how to create a synthetic example for ITS. The example has 3 segments, equal to the number of segments that will be used in the analysis in the next sections. In this example the sentiment is lower before the change occurs and high after the change has occurred. This example also includes data density variablily, i.e., there are a different amount of data points for each month. The example is shown visually in figure \ref{itsexample} is generated by the following algorithm:
\begin{itemize}
\item Select base values: before the change choose a base value of 0.10 and after the change choose a base value of 0.15
\item Add noise: add a random value in $[0, 0.05)$ to the base value for each month
\item Choose sample size: choose a random sample size in $[200, 400)$ for each month and duplicate the value from the previous step by the sample size in each month respectively
\item Select time frame: for instance, 15 months before and after the change
\item Select base values: before the change choose a base value of $0.10$ and after the change choose a base value of $0.15$
\item Add noise: add a random value in $[0, 0.05)$ to the base value for each month respectively
\item Choose sample size (data density): choose a random sample size in $[200, 400)$ for each month and duplicate the value from the previous step by the sample size in each month respectively
\item Compute the ITS: while taking data density variability into account
\end{itemize}
This algorihm generates an ITS where the line before the change is on a lower level than the line after the change. However, this algorithm does not control the slopes of the lines before and after the change. The slopes of the lines in \ref{itsexample} are random. The algorithm could be extended to also control the slopes of the lines, however, for demonstration purposes this is enough.
This algorihm generates an ITS where the line before the change is on a lower level than the line after the change. However, this algorithm does not control the slopes of the segments before and after the change. The slopes of the lines in \ref{itsexample} are random. The algorithm could be extended to also control the slopes of the lines, however, for demonstration purposes in this thesis this is enough.
\begin{figure}

16
todo3.txt
View File

@@ -1,7 +1,7 @@
introduction, sachen von related work wiederholen
es gibt so viele commu .. neue kommen, machen comm sterben,
was machen die site admins
was hat stackexchange gemacht ein beispeil
DONE es gibt so viele commu .. neue kommen, machen comm sterben,
DONE was machen die site admins
DONE was hat stackexchange gemacht ein beispeil
3 ca seiten
@@ -13,15 +13,15 @@ DONE > abschließend, große table mit stats die eh schon drin sind
results
captions ausbauen
DONE describe what the lines are thres
describe the number
DONE describe the number
describe everything
describe single sm
DONE describe single sm
describe trends
ein wenig spekulation
results 1st paragraph what are the lines
DONE results 1st paragraph what are the lines
diagramme 1 seite, text 1/2
summary extra überschrift
DONE summary extra überschrift
discussion
@@ -52,7 +52,7 @@ methodik
mehr ausholen
beispiele aus andere paper
sythisches beispeil, auch beschreibe wie es erstellt wurde, in detail,
DONE sythisches beispeil, auch beschreibe wie es erstellt wurde, in detail,
ca 5-6 stiten möglich