Thursday, July 20, 2023

Trainee's Learnings from DATA JOURNALISM Class

 निर्भय सिंह ~ जनमानस न्यूज़ में ट्रेनिंग कर रहे लखनऊ विश्वविद्यालय के छात्रों ने सोमवार को तमाम वेबसाइट्स और ऐप्स के द्वारा किए जा रहे आम लोगों के डेटा का कैसे ग़लत उपयोग किया जा रहा उसके बारे में जाना। ऑफ़लाइन आयोजित डेटा पत्रकारिता पर कार्यशाला में ट्रेनीज़ में उत्साह के साथ परस्पर प्रभाव दिखा। लगभग एक घंटे की कार्यशाला में फ़ोन में इनबिल्ट ऐप्स के बारे में बताया की वो ऐप्स कैसे बिना आपके पर्मिशन के आपका कैमरा और माइक का ऐक्सेस कर लेते हैं, फिर आप जो भी गतिविधियां करते हैं सब कुछbरिकॉर्ड होता रहता है। साथ ही मुझे लगता है कि "पत्रकारिता" या "डेटा पत्रकारिता" के निष्कर्ष पर जोर देना महत्वपूर्ण है। इस अभ्यास में केवल डेटा का विश्लेषण करना या उसके लिए डेटा की कल्पना करना शामिल नहीं है, बल्कि इसे दुनिया में जो चल रहा है उसकी सच्चाई के करीब पहुंचने के लिए एक उपकरण के रूप में उपयोग करना चाहिए। मैं डेटा का विश्लेषण और व्याख्या करने में सक्षम होने की क्षमता को एक अलग निर्देश के बजाय आज के अवलोकन के टूलकिट के एक अनिवार्य घटक के रूप में देखता हूँ। अंततः यह सब अच्छे चित्रण और चित्रों के सबसे उपयुक्त तरीकों के बारे में बताया गया है।

KAUSTUBH ~ The importance that data holds in the journalism and day-to-day life of people is commendable. And everyone should consider learning about the data to make their life easy and their information safe. As in current scenario, one of the biggest threats is data theft. Which means someone taking your personal information, hindering privacy, and interfering with your life. There are mainly two types of data namely partial ( opinion based ) and non-partial ( factual ). There are mainly three kind of web from where people can access data firstly and the most common one is the partial web which is the most commonly used web, the second one the deep web more secure and use for secured transactions and lastly the dark web the most controversial web and most difficult to access it. Most people have only little access to the database as most of people do not know how to access it and research about the information they require. To conclude it, I would say it as who holds access to data, also holds the power.

ESHA PARTIAL AND NON PARTIAL DATA : Data journalism involves the utilization of information and facts that are gathered and structured for the purpose of analysis and reporting. In this context, "data" refers to the raw material that journalists use to uncover trends, patterns, and stories. When journalists encounter "partial data," it means they have access to only a fraction of the pertinent information, which may lead to restricted insights and less accurate conclusions. On the contrary, "non-partial data" implies possessing comprehensive and complete information, enabling journalists to delve deeper and offer more reliable insights in their reporting.

Data journalists strive to work with reliable and complete datasets to ensure objectivity and a well-rounded approach in their stories. They are aware of the potential limitations that come with handling partial data and, as a result, are committed to maintaining transparency and upholding the integrity of their work. By doing so, they provide the public with trustworthy and informative news, bolstering the credibility of data-driven journalism as a vital tool for understanding and interpreting complex issues.


ALGORITHMS- The algorithms employed by social media are intricate sets of rules and instructions that determine the content shown to users on their feeds. Social media platforms meticulously design these algorithms to personalize user experiences, boost engagement, and retain user interest on their sites. Key elements encompass gauging content relevance by analyzing user interactions like likes, comments, and shares, prioritizing posts with higher engagement levels, incorporating timely updates to keep users informed, considering user relationships to foster connections, and potentially highlighting sponsored content for advertising revenue. However, the ever-evolving nature of these algorithms raises concerns regarding filter bubbles and their influence on information distribution. Grasping the workings of social media algorithms is vital for users to navigate the digital landscape responsibly and effectively.


TYPES OF WEB

The "web" denotes the intricate interconnection of websites and web pages accessible through the Internet. It forms a vast network that facilitates seamless navigation between online resources, creating a virtual tapestry of information. Within this expansive domain, three primary types of web exist: the Surface Web, the Deep Web, and the Dark Web.

  • Surface Web: The Surface Web encompasses the easily searchable and indexed portion of the internet, openly accessible through standard search engines like Google, Bing, and Yahoo. It comprises websites intended for public consumption, ranging from news platforms, e-commerce sites, to social media networks. This visible layer is optimized for easy discovery via common search queries.
  • Deep Web: In contrast, the Deep Web constitutes the vast majority of the internet that remains unindexed by search engines. Hidden from public view, these websites and databases necessitate specific credentials or specialized software to access. Among its content are private user accounts, subscription-based services, academic and research databases, and confidential corporate intranets. Though not inherently malevolent, the obscurity of the Deep Web restricts general accessibility.
  • Dark Web: The Dark Web resides within the Deep Web as a concealed and small clandestine enclave. It can only be accessed through anonymity-enabling tools like Tor (The Onion Router). The Dark Web harbors a realm of illicit activities, including black markets for drugs, weapons, and stolen data, as well as forums catering to hackers and other criminal endeavors. Owing to its encrypted and anonymous nature, the Dark Web poses significant challenges to law enforcement and potential risks to users venturing into this hidden territory.


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