INTRODUCTION TO SOCIAL MEDIA ANALYTICS | SMADA | LECTURE 01 BY MS. KRITI MISHRA | AKGEC

INTRODUCTION TO SOCIAL MEDIA ANALYTICS | SMADA | LECTURE 01 BY MS. KRITI MISHRA | AKGEC

by Ms. Kriti Mishra

Humanities, Social Sciences & Thought Computing & Cybersecurity UNDatabasesUNFData mining
🎙 Ms. Kriti Mishra 👥 22K 📅 September 4, 2025 ⏱ 25 min 👁 1K 📄 tutorial 🧭 2026-08-17
Available in: English (current) Français

Keywords

social media analyticsdata analyticsbig dataunstructured datadata pyramid

Summary

This lecture is the first in a series on Social Media Analytics and Data Analytics for third-year engineering students. The instructor, Ms. Kriti Mishra, begins by defining social media as a platform for interaction and analytics as the process of extracting insights from data. She emphasizes the importance of social media data for understanding public opinion and brand management. The lecture covers the concept of unstructured data, highlighting challenges like emojis and informal language. It introduces the data-information-knowledge-wisdom pyramid, using a soap product example to illustrate how raw data is transformed into actionable insights. The instructor also outlines the four steps of social media analytics: Listen, Analyze, Engage, and Integrate. She briefly mentions the syllabus for the course, including topics like graph theory, network fundamentals, and predictive modeling. The lecture is introductory, aiming to set the stage for more detailed topics in subsequent sessions.

144 words

Critical Evaluation

Value of the Information & Strength of the Argument

The lecture provides a basic overview of social media analytics, but the information is largely superficial and lacks depth. The argumentation is mostly anecdotal, using simple examples like a soap company to illustrate concepts. The instructor does not present any empirical evidence or case studies to support claims, such as the statistic that engaged customers spend 20-40% more. The value is limited to a high-level introduction, which may be suitable for beginners but offers little for those seeking a rigorous understanding.

Scientific Rigor, Source Quality, Title Accuracy

The lecture is not scientifically rigorous; it lacks citations and references to academic literature. The instructor mentions suggested books but does not provide specific titles or authors. The title accurately reflects the content, as it is an introductory lecture. The description includes links to the institution’s website and a playlist, but these are not sources for the content. The lecture is based on the instructor’s knowledge and the AKTU syllabus, but without proper sourcing, the reliability is questionable.

174 words

Title / Content Match

The title accurately reflects the content: a first lecture introducing social media analytics.

Quality & Reliability

5/10

The lecture provides a basic introduction to social media analytics, covering definitions, the data-information-knowledge-wisdom pyramid, and the four steps of social media analytics. It is an educational lecture from an academic institution, but it lacks depth, citations, and rigorous scientific grounding. The content is largely descriptive and relies on anecdotal examples.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Contribution & Novelties

The lecture provides a basic introduction to social media analytics, but it does not offer any novel insights or original research. It is a standard overview of concepts like unstructured data and the data pyramid. The main value is as an educational resource for beginners.

Pour aller plus loin :

73 words

Radar Profile

The radar profile shows low scores across all dimensions, indicating a basic introductory lecture with limited depth, technicality, and reliability. The content is suitable for beginners but lacks the rigor expected in a scientific analysis.

Reliability 4/10