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Hi! Welcome to the Wikimedia Foundation Governance Wiki, the wiki which the Wikimedia Foundation uses to publicly share its governance materials.

Because of the sensitive purpose of this wiki, creation of new content pages and edits to its main content are restricted to only authorized editors and administrators.

Individuals with a registered Wikimedia account are able to:

Discuss "Home" with others. If you have noticed an error or have a suggestion for a simple change, start a new section and insert the text {{edit request}} followed by your request. An authorized editor or administrator may then make the change on your behalf.
Translate "Home" to other languages. If you see this message when attempting to translate, you should go back to the main page, and click the "translated version" button and choose the language you are translating. Or you can go to the main page, and click "Translate this page" to translate.
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How can I report

Latest comment: 7 months ago4 comments3 people in discussion

How can I report On a Wikipedia page that reports wrong things and protected. The facts is in Wikipedias, yet lies are there Meynachem's (talk) 17:55, 24 October 2023 (UTC)Reply

Hey @Meynachem's, which Wikipedia page are you talking about? Can you please link the page name here? –Tanbiruzzaman (talk) 17:59, 24 October 2023 (UTC)Reply

To the Wikipedia Editing Team

I am writing to request an immediate revision of the Wikipedia article regarding the Al-Ahli Arab Hospital explosion in Gaza City on October 17, 2023. I have concerns about the current articles in Hebrew and Arabic, which present conflicting narratives. This has resulted in confusion and adversely affects Wikipedia's credibility.

Of utmost concern is the Arabic Wikipedia article, which presents a misleading narrative depicting the incident as an Israeli massacre, despite substantial evidence to the contrary. This misrepresentation not only perpetuates misinformation but also obstructs the pursuit of truth and reconciliation. Moreover, there is a real risk that such inaccuracies could incite violence against innocent individuals, a scenario that we all wish to avoid. Therefore, it is imperative to rectify these inaccuracies and provide a balanced and accurate account of the incident.

I propose the following actions to address this issue:

1. Conduct a thorough review of both the Hebrew and Arabic articles to correct inaccuracies and eliminate biases.

2. Ensure that all references are transparent, encompassing statements from the Israeli Defense Forces, American intelligence agencies, international media reports, and other reliable sources.

3. Commit to regular updates with the latest credible information to maintain the article's accuracy over time.

Wikipedia bears a significant responsibility for accurate and transparent reporting, especially in sensitive matters like this. I cannot emphasize enough the urgency of this situation.

Sincerely, meynachem Here is link to both pages:

Hebrew*

https://he.m.wikipedia.org/wiki/%D7%94%D7%A4%D7%99%D7%A6%D7%95%D7%A5_%D7%91%D7%91%D7%99%D7%AA_%D7%94%D7%97%D7%95%D7%9C%D7%99%D7%9D_%D7%94%D7%A2%D7%A8%D7%91%D7%99_%D7%90%D7%9C-%D7%90%D7%94%D7%9C%D7%99

Arabic*

https://ar.m.wikipedia.org/wiki/%D9%85%D8%AC%D8%B2%D8%B1%D8%A9_%D9%85%D8%B3%D8%AA%D8%B4%D9%81%D9%89_%D8%A7%D9%84%D9%85%D8%B9%D9%85%D8%AF%D8%A7%D9%86%D9%8A Meynachem's (talk) 18:09, 24 October 2023 (UTC)Reply

Hello @Meynachem's: This request is not within the scope of this particular wiki. Your best route to resolution is to reach out to the Wikimedia volunteers - I recommend trying info-he

wikimedia.org email for resolution. You can find more about this email setup on Meta-Wiki. --Gregory Varnum (Wikimedia Foundation) [he/him] (talk) 06:27, 26 October 2023 (UTC)Reply

Semi-protect

Latest comment: 5 months ago2 comments2 people in discussion

This edit request has been answered. Set the |answered= or |ans= parameter to no to reactivate your request.

Could this page please be semi-protected? It seems to be a spam target. Pppery (talk) 00:16, 2 December 2023 (UTC)Reply

@Pppery: Good idea.

Done Thank you! --Gregory Varnum (Wikimedia Foundation) [he/him] (talk) 21:00, 5 December 2023 (UTC)Reply

Home/chn translation only exists because of an accident

Latest comment: 20 days ago4 comments2 people in discussion

Just saying. POSSUM chowg (talk) 23:42, 6 April 2024 (UTC)Reply

@POSSUM chowg: It looks like the translation is now more developed - is that accurate - or is it still a bad translation? --Gregory Varnum (Wikimedia Foundation) [he/him] (talk) 20:26, 6 May 2024 (UTC)Reply

It's still pretty bad POSSUM chowg (talk) 20:27, 6 May 2024 (UTC)Reply

Okay - I will go ahead and delete. You can also help provide better translations if you are interested. Thank you for the ping! --Gregory Varnum (Wikimedia Foundation) [he/him] (talk) 20:31, 6 May 2024 (UTC)Reply

@@ Line 1: / Line 1: @@
+{{User:LincolnBot/archiveconfig
-{{archives}}
+|archive = Talk:Home/Archive %(counter)d
-{{Contribute}}
+|algo = old(180d)
+|counter = 1
+|maxarchivesize = 150K
+|archiveheader = {{talk archive}}
+|minthreadstoarchive = 1
+|minthreadsleft = 3
+}}{{archives}}
+{{Contribute}}{{Semiprotected talk}}
+== How can I report ==
-== Page is translated, but not showing in local language (translation) ==
+{{anchor|Urgent revision request}}
-{{done}} please push through ja language translation as submitted starting around [https://foundation.wikimedia.org/w/index.php?title=Translations:Home/Page_display_title/ja&oldid=133206 04:57‎, 27 December 2021 (UTC)]. I would like to refer this page to the Wikimedia jargon glossary we are compiling on jawp. Appreciate your kind arrangement, --[[User:Omotecho|Omotecho]] ([[User talk:Omotecho|talk]]) 07:48, 8 January 2022 (UTC)
-:If you link to [[Home/ja]], it should work. --[[User:Ameisenigel|Ameisenigel]] ([[User talk:Ameisenigel|talk]]) 16:12, 22 February 2022 (UTC)
-::@[[User:Ameisenigel|Ameisenigel]], hi, that s a great top to learn, thank you for telling me. It is showing and I am smiling. Cheers, arigatō, -- [[User:Omotecho|Omotecho]] ([[User talk:Omotecho|talk]]) 20:19, 22 February 2022 (UTC)
+How can I report On a Wikipedia page that reports wrong things and protected. The facts is in Wikipedias, yet lies are there [[User:Meynachem&#39;s|Meynachem&#39;s]] ([[User talk:Meynachem&#39;s|talk]]) 17:55, 24 October 2023 (UTC)
-== East Turkestan ==
+:Hey @[[User:Meynachem's|Meynachem's]], which Wikipedia page are you talking about? Can you please link the page name here? –[[User:Tanbiruzzaman|Tanbiruzzaman]] ([[User talk:Tanbiruzzaman|talk]]) 17:59, 24 October 2023 (UTC)
-Historical state in Central Asia, on the territory of present-day Xinjiang, at the moment a province of ChinaHistorical state in Central Asia, on the territory of present-day Xinjiang, at the moment a province of China [[User:Afon99|Afon99]] ([[User talk:Afon99|talk]]) 11:09, 19 July 2022 (UTC)
+::To the Wikipedia Editing Team
+::I am writing to request an immediate revision of the Wikipedia article regarding the Al-Ahli Arab Hospital explosion in Gaza City on October 17, 2023. I have concerns about the current articles in Hebrew and Arabic, which present conflicting narratives. This has resulted in confusion and adversely affects Wikipedia's credibility.
+::Of utmost concern is the Arabic Wikipedia article, which presents a misleading narrative depicting the incident as an Israeli massacre, despite substantial evidence to the contrary. This misrepresentation not only perpetuates misinformation but also obstructs the pursuit of truth and reconciliation. Moreover, there is a real risk that such inaccuracies could incite violence against innocent individuals, a scenario that we all wish to avoid. Therefore, it is imperative to rectify these inaccuracies and provide a balanced and accurate account of the incident.
+::I propose the following actions to address this issue:
+::1. Conduct a thorough review of both the Hebrew and Arabic articles to correct inaccuracies and eliminate biases.
+::2. Ensure that all references are transparent, encompassing statements from the Israeli Defense Forces, American intelligence agencies, international media reports, and other reliable sources.
+::3. Commit to regular updates with the latest credible information to maintain the article's accuracy over time.
+::Wikipedia bears a significant responsibility for accurate and transparent reporting, especially in sensitive matters like this. I cannot emphasize enough the urgency of this situation.
+::Sincerely, meynachem Here is link to both pages:
+::Hebrew*
+::https://he.m.wikipedia.org/wiki/%D7%94%D7%A4%D7%99%D7%A6%D7%95%D7%A5_%D7%91%D7%91%D7%99%D7%AA_%D7%94%D7%97%D7%95%D7%9C%D7%99%D7%9D_%D7%94%D7%A2%D7%A8%D7%91%D7%99_%D7%90%D7%9C-%D7%90%D7%94%D7%9C%D7%99
+::Arabic*
+::https://ar.m.wikipedia.org/wiki/%D9%85%D8%AC%D8%B2%D8%B1%D8%A9_%D9%85%D8%B3%D8%AA%D8%B4%D9%81%D9%89_%D8%A7%D9%84%D9%85%D8%B9%D9%85%D8%AF%D8%A7%D9%86%D9%8A [[User:Meynachem&#39;s|Meynachem&#39;s]] ([[User talk:Meynachem&#39;s|talk]]) 18:09, 24 October 2023 (UTC)
+:::Hello @[[User:Meynachem's|Meynachem's]]: This request is not within the [[Wikimedia:Scope|scope]] of this particular wiki. Your best route to resolution is to reach out to the Wikimedia volunteers - I recommend trying info-he{{@}}wikimedia.org email for resolution. You can find more about [[m:Volunteer Response Team|this email setup on Meta-Wiki]]. --[[User:GVarnum-WMF|Gregory Varnum (Wikimedia Foundation) [he/him]]] ([[User talk:GVarnum-WMF|talk]]) 06:27, 26 October 2023 (UTC)
-== Punctuation errors on the "Financial Reports" page ==
+== Semi-protect ==
-This page uses en dashes to identify financial years, when the dash should be restricted to ranges of years. That is according to the WP-en MOS and to general punctuation guidelines used by the publishing industry. I can't edit the page myself to fix.
+{{edit request|answered=yes}}
-It's arguable that the "2021-2022" financial year, with a hyphen, should be "2021/2022". But it's clearly wrong to typeset "2018–2019" with an en dash. It's not a period of two years, 2018 through 2019, but a single year that spans part of 2018 and part of 2019. At the very least it should be changed to a simple hyphen, but slashes are the norm for financial and school years. With a slash, unlike a hyphen, it's clear that the punctuation isn't a mistake for an en dash. [[User:Kwamikagami|Kwamikagami]] ([[User talk:Kwamikagami|talk]]) 21:38, 31 August 2022 (UTC)
+Could this page please be semi-protected? It seems to be a spam target. [[User:Pppery|Pppery]] ([[User talk:Pppery|talk]]) 00:16, 2 December 2023 (UTC)
+:@[[User:Pppery|Pppery]]: Good idea. {{done}} Thank you! --[[User:GVarnum-WMF|Gregory Varnum (Wikimedia Foundation) [he/him]]] ([[User talk:GVarnum-WMF|talk]]) 21:00, 5 December 2023 (UTC)
-== Top Data Science Myths That Must Be Debunked  ==
+== [[Home/chn]] translation only exists because of an accident ==
-Top Data Science Myths That Must Be Debunked
+Just saying. [[User:POSSUM chowg|POSSUM chowg]] ([[User talk:POSSUM chowg|talk]]) 23:42, 6 April 2024 (UTC)
-Although there are many employment openings in the data science profession, many people are still unsure of what data scientists perform. The numerous misconceptions regarding the function of a data scientist are partly to blame for this confusion. We will debunk the top ten data science fallacies in this article. You will know more about the job of a data scientist and what it takes to be one at the end of this essay.
+:@[[User:POSSUM chowg|POSSUM chowg]]: It looks like the translation is now more developed - is that accurate - or is it still a bad translation? --[[User:GVarnum-WMF|Gregory Varnum (Wikimedia Foundation) [he/him]]] ([[User talk:GVarnum-WMF|talk]]) 20:26, 6 May 2024 (UTC)
-Due to data science's growing popularity, many misconceptions about it are spread. It's critical to be aware of and dispel these fallacies if you're thinking about a career in data science.
+::It's still pretty bad [[User:POSSUM chowg|POSSUM chowg]] ([[User talk:POSSUM chowg|talk]]) 20:27, 6 May 2024 (UTC)
-Every data function is identical
+:::Okay - I will go ahead and delete. You can also [//foundation.wikimedia.org/w/index.php?title=Special:Translate&group=page-Home&action=page&filter=&language=chn help provide better translations] if you are interested. Thank you for the ping! --[[User:GVarnum-WMF|Gregory Varnum (Wikimedia Foundation) [he/him]]] ([[User talk:GVarnum-WMF|talk]]) 20:31, 6 May 2024 (UTC)
-Because their occupations, tasks, and duties are all extremely distinct from one another, data analysts, data engineers, and data scientists are all performing the same action, which is entirely incorrect. We recognise the confusion this causes because all of these folks fall under the big data category. Let's look at what data engineers do first. They are in charge of working on the fundamentals of engineering and creating the scalable data pipelines necessary for the extraction of raw data from various sources, transformation, and injection into downstream systems. Data scientists and data analysts rely on this procedure because it allows them to turn data into information, which is what matters.
-To work as a data scientist, you must have a PhD.
-This is also entirely incorrect, but it also greatly relies on the kind of job role you want. For instance, a master's or doctoral degree is required if you want to work in research. However, if you want to solve complicated data riddles and work with deep learning or machine learning, you will be the one to work on data science projects employing libraries and data analysis techniques. Therefore, a master's degree is not required. Nowadays, everything revolves around skills; therefore, if you possess the necessary skill set for a data scientist, you may certainly enter the field.
-Data Scientists must be proficient coders
-Additionally, this is completely incorrect because a data scientist's job requires them to work with large amounts of data, and when we talk about pro coding, we mean working excessively on the competitive programming side or having a very in-depth understanding of common data structures and algorithms. A data scientist must undoubtedly be skilled at handling complicated problems. In the realm of data science, we have languages like Python and R that offer crucial support through a variety of libraries that can be utilized to tackle complex data challenges. To build the best data models and machine learning models, you should strive to grasp how to use these libraries and their modules as a data scientist. Take up the training in Data Science Course with placement in Hyderabad today to gain a competitive edge.
-Even Programming professionals should study data science
-One of the most crucial myths to dispel is this one. Although a growing number of young people choose to major in science, primarily drawn by the increasing employment available in the technological sector, most people do not already haical backgrounds for the data science profile because they excel at problem-solving and comprehending commercial use cases. In order to succeed in data science interviews, it's crucial to comprehend these concepts. Companies don't focus on a programmeve a technical background. Employers frequently choose candidates with non-technr's traditional technical skills; instead, they want to know if an applicant is strong in the aptitude test.
-Predictive modeling is all there is to data science.
-Not everyone knows that data scientists spend 80% of their time cleaning and transforming data and 20% of their time on data modeling. As a result, a data scientist who wants to produce extremely accurate data and a machine learning model must clean and transform data. We know that working on a specific Big Data solution involves a number of processes, the first of which is crucially important: data transformation. In the modern era, data comes to us from many different sources, and the raw data can occasionally contain invalid records. We won't be able to get actionable transformation data and won't be able to do anything if we can't clean our data.
-Data Science Needs a Solid Mathematical Foundation
-This is also untrue to the fullest extent possible because one of the crucial aspects of working as a data scientist on a daily basis is having strong math skills. These mathematical ideas, such as statistics and probability, would be helpful while analyzing the data, but they are not necessary for a data scientist to possess to be successful in their field. Unless you need to innovate or develop a new algorithm, you don't need to be a mathematics expert to execute the standard mathematical calculations and computations because we have excellent programming languages like Python and R that also provide great support for amazing libraries.
-Conclusion
-Do not be deterred by these fallacies if data science is something you are interested in. People of different backgrounds are welcome to work in data science. Anyone can become a data scientist with the trending skills and knowledge. Learn more  about the tools with [https://www.learnbay.co/data-science-course-training-in-hyderabad data science course in Hyderabad] , and become an IBM-certified data scientist. [[User:Sidimeenu|Sidimeenu]] ([[User talk:Sidimeenu|talk]]) 08:59, 26 December 2022 (UTC)