AGENDA • Introduction • Background: large volume data analysis • Our workflow • Benefits • Ethics and conclusion

1. HARNESSING AI FOR
ENHANCED MEDIA ANALYSIS
A CASE STUDY ON CHATGPT AT
DRONE EMPRIT
Ismail Fahmi, Ph.D.
Director Media Kernels Indonesia (Drone Emprit)
Ismail.fahmi@gmail.com
IFI WORKSHOP
23 APRIL 2024

2. AGENDA
• Introduction
• Background: large volume data analysis
• Our workflow
• Benefits
• Ethics and conclusion
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3. ABOUT DRONE EMPRIT
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4. DURING PRESIDENTIAL ELECTION DEBATES
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5. CHALLENGES IN DATA ANALYSIS
High Volume of Data
• Challenge: Social media generates vast amounts of data daily. Analysts are tasked with filtering and examining this
deluge to extract relevant information, which can be overwhelming.
• Impact: The sheer volume can delay the processing time, making it challenging to deliver timely insights.
Real-Time Analysis Requirement
• Challenge: The digital landscape is highly dynamic, with trends and public opinions shifting rapidly. Companies are
expected to provide insights almost instantaneously to stay relevant.
• Impact: There is intense pressure on analysts to not only be fast but also accurate, increasing the risk of oversight
and errors.
Need for Expertise
• Challenge: Effective analysis requires a deep understanding of both the tools (like AI and machine learning) and the
subject matter being analyzed.
• Impact: There is a constant need for training and upskilling, which can be time-consuming and resource-intensive.
Maintaining Accuracy and Depth in Fast Analyses
• Challenge: Balancing speed with the depth of analysis is crucial, as quicker analyses might skim over deeper, more
valuable insights.
• Impact: There is a risk of producing surface-level insights that may not fully benefit strategic decision-making.
Data Privacy and Security
• Challenge: Ensuring the security and privacy of data, especially when dealing with sensitive information on social
media.
• Impact: Compliance with data protection regulations can add layers of complexity and time to the data analysis
process.
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6. FUTURE OF WORK IS AI?
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7. CHATGPT: IT'S MIND-BLOWING!
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8. OUR STRATEGIES
• Leveraging AI and automation tools like ChatGPT API to
handle the initial stages of data analysis, thus speeding
up the process.
• Implementing robust data management systems to
streamline data collection and preparation.
• Continuous training programs for analysts to keep up
with new tools and analysis techniques.
• Adopting scalable cloud solutions to easily adjust to
varying data loads.
• Developing clear protocols for data privacy to ensure
all analysis processes comply with regulations without
unnecessary delays.
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API

9. OUR DATA ANALYTICS + AI WORKFLOW
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Conversations Crawler & analytics Top 200 tweets
Quantitative
analysis
Qualitative
analysis
Data analyst
Prompt+Data
Response
API

10. CASE STUDY: ANALISIS SIREKAP DI MEDSOS
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11. QUANTITATIVE ANALYSIS
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12. QUANTITATIVE ANALYSIS: MOST RETWEETED
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13. QUALITATIVE ANALYSIS: CHATGPT
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14. INSIGHT FROM CHATGPT
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15. ASK FOR RECOMMENDATIONS
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16. BENEFITS
• Quick Insights
Analysts receive responses in real-time, significantly speeding
up the decision-making process.
• Depth of Analysis
ChatGPT provides nuanced insights that go beyond basic
analytics, including thematic analysis and predictive trends.
• Efficiency
Reduces the manpower needed for initial data analysis
phases, allowing our team to focus on strategic implications.
• Scalability
Easy to scale up operations during high-demand periods
without a proportional increase in resource allocation.
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17. ETHICAL AND PRIVACY ISSUES
Ethical AI Use
• Transparency: Clearly inform users about how data prepared
and posted as context. Transparency builds trust and ensures
users are aware of AI's role in data processing.
Secure Data Handling
• Data Encryption: Encrypt data both in transit and at rest to
protect sensitive information from unauthorized access.
• Access Controls: Implement strict access controls and
authentication measures to limit access to sensitive data only to
authorized personnel.
Data Anonymization
• Anonymize Data: Where possible, use anonymization
techniques to remove or obscure personal identifiers in data sets
used for training or querying the AI, reducing privacy risks.
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18. CONCLUSION
• The use of Artificial Intelligence (AI) for media analysis represents a transformative
advancement in how organizations process and interpret vast amounts of data from
various media sources.
• AI technologies, such as natural language processing tools and machine learning
algorithms, enable faster and more accurate analysis of content trends, sentiment,
and consumer behaviors.
• This capability not only enhances decision-making but also streamlines operations,
reduces costs, and allows for real-time insights that are crucial in the fast-paced
media environment.
• However, while AI offers significant benefits, it also raises critical ethical and privacy
concerns that must be diligently managed.
• Organizations must ensure transparent, responsible use of AI and adhere strictly to
data privacy laws to maintain trust and compliance.
• In conclusion, when implemented thoughtfully and ethically, AI in media analysis can
provide powerful tools for gaining strategic insights and maintaining competitive
advantage.
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19. EXERCISE

20. LIVE AI ANALYSIS: “PUTUSAN PHPU MK 2024”
The context revolves around the recent
decision of the Constitutional Court (MK)
regarding the dispute over the 2024
Presidential Election results, 22-23 April
2024.
The social media posts highlight various
opinions and reactions to the court's
decision.
Let’s drill deeper into the conversation
with the help from AI.
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21. SOME QUESTIONS (PROMPTS):
• Apa saja poin keputusan MK berdasarkan data percakapan yang diberikan?
• Buat analisis opini pro dan kontra terhadap keputusan yang diambil MK.
• Bagaimana sikap pasangan AMIN dan Ganjar-Mahfud?
• Apakah ada percakapan yang mengarah pada pengerahan massa dan
kerusuhan?
• Apa rekomendasi untuk [user/institusi]?
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22. THANK YOU