## 3 Results
### LLM Structured Prompt for Narrative Generation
#### 3.1.1 Experiments with Preliminary Designs  
The first iteration of the structured prompt allowed for verbose text entries in its twelve fields and included a textual description of the _situation_, as shown in Figure 2(a). This information was generated organically to test ChatGPT's capabilities and not based on simulated information. The narratives provided in Figure 2(b) demonstrate satisfactory outcomes; however, the structured input format was not practical for our purposes as it would have placed a burden of generating descriptive prose on the ABM which would have defeated the purpose of using an LLM chatbot. In the second iteration, some descriptive text has been replaced with ABM simulated data and additional fields (e.g., Voice, Narrative Immediately, and Intended Emotion Level) were added to the prompt structure, as shown in Figure 3(a). The prompt still required the manual creation of more text than was desired. We also identified that a lack of clarity regarding the identity of the narrator, the subject of the narrative, and the nature of the subject being described was hindering the narrative generation process. This problem is demonstrated in Figure 3(b) where the prompt was incorrectly interpreted and [PERSON] is attributed the role of _newborn child_ instead of _mother_. The figure also demonstrates an instance of unwanted messaging generated both before and after the requested narratives. \begin{table}
\begin{tabular}{c c c} \hline \hline \multirow{2}{*}{**Event Type**} & **Num. PANAS Sentiment** & \multirow{2}{*}{**Num. PANAS Sentiment Tweets**} \\  & **ChatGPT Narratives** & \\ \hline Birth & 5586 & 944 * \\ Death & 5115 & 944 * \\ Hiring & 5447 & 944 * \\ Firing & 5447 & 944 * \\ \hline \hline \end{tabular}  
* Tweets are not categorized by event type.  
\end{table} 
Table 3: Number of ChatGPT-generated narratives and real tweets containing any PANAS lexicon subgroup word, as described in column 6 of Table 11, by life event type. Situation: [PERSON] (male, 42) and [PERSON] (female, 36) [PERSON] have just given birth to a baby boy, [PERSON]. It is their first child. [PERSON] and [PERSON] have been married for several years. Identified Narrative Components:  
(1) Agent Characteristics: the agent is white, male, 42 years old; he has never been married and has no children; he has a B.S. degree in marketing; he is left-leaning politically; he owns a home, lives in a small city, and is financially comfortable  
(2) Connection: the target of the discussion is a group of other agents, the new parents  
(3) Time: this life event is happening now  
(4) Target of Narrative: the target audience is the parents and acquaintances of the parents  
(5) Emotional/Sentimental Spectrum: the emotion of the agent can range from mildly to extremely positive  
(6) Urgency: the agent is active  
(7) Object of Narrative: there is a key life event, a birth  
(8) History: the agent went to college with the new father; they were roommates; they have stayed in touch over the years and now live a couple hours away from each other  
(9) Narrative Response Volume: generate 10 different narratives (tweets)  
(10) Length of Narrative: each narrative should be 280 characters or less  
(11) Special Tokens: hashtags and \(\emptyset\)s are allowed and encouraged  
(12) Hyperlinks: hyperlinks are allowed  
Generate a number of narratives (tweets) based on the defined Situation and 12 Identified Narrative Components. (a)  
1. Congratulations to my dear friends [PERSON] and [PERSON] on the arrival of baby [PERSON]! Wishing you all a lifetime of love, joy, and precious moments together. \(\#\)NewParents \(\#\)Blessed  
2. The [PERSON] family just got bigger and better! Welcome to the world, baby [PERSON]. [PERSON] and [PERSON], you're embarking on the most incredible journey of parenthood. Cherish every second! \(\#\)Parenthood.Joy  
\(\#\)BabyMax  
3. Introducing the newest member of the [PERSON] clan, [PERSON]! Sending heartfelt congratulations to [PERSON] and [PERSON] on this beautiful blessing.